text stringlengths 207 3.51k | summary stringlengths 75 1.15k |
|---|---|
This paper introduces four classes of rotation invariant orthogonal moments by generalizing four existing moments that use harmonic functions in their radial kernels . Members of these classes share beneficial properties for image representation and pattern recognition like orthogonality and rotation invariance . The ... | We generalize polar harmonic transforms for pattern description recognition. The generalization maintains beneficial properties of existing transforms. The completeness of the corresponding basis sets is proven. The numerical stability of the computation is discussed. The new generic transforms have superior performanc... |
In this paper a MATLAB based graphical user interface software tool for general biomedical signal processing and analysis of functional neuroimaging data is introduced . Specifically electroencephalography and electrocardiography signals can be processed and analyzed by the developed tool which incorporates commonly u... | Design of a MATLAB based GUI tool for general biomedical signal processing and analysis. EEG and ECG signals can be processed and analyzed by the designed tool. The easy to use and easy to learn intuitive tool provides non linear chaos analysis. The tool provides entropy multivariate analysis with PCA and ICA pattern c... |
Background and objective A markerless low cost prototype has been developed for the determination of some spatio temporal parameters of human gait step length step width and cadence have been considered . Only a smartphone and a high definition webcam have been used . Methods The signals obtained by the accelerometer ... | A markerless low cost system for the estimation of some spatial temporal parameters of human gait. A system usable on not instrumented treadmill. A system characterized by a very high level of automation. A system can be used to analyze up to one hundred steps. A system with precision comparable with the gold standard. |
This paper presents an improved multiple instance learning tracker representing target with Distribution Fields and building a weighted geometric mean MIL classifier . Firstly we adopt DF layer as feature instead of traditional Haar like one to model the target thanks to the DF specificity and the landscape smoothness... | We adopt Distribution Field DF layer as feature instead of traditional Haar like one to robustly model the target. We derive an online weighted geometric mean MIL classifier to select the most discriminative layers. Our tracker is more robust while needing fewer features than the traditional Haar like one and the origi... |
Text based image retrieval may perform poorly due to the irrelevant and or incomplete text surrounding the images in the web pages . In such situations visual content of the images can be leveraged to improve the image ranking performance . In this paper we look into this problem of image re ranking and propose a syst... | A system that constructs multi instance bags from text based retrieval order. Ensemble of MI classifiers is learned using these multi instance bags. We report image re ranking performance on multiple datasets. Our system receives on par or better results than the state of the art. |
Background and objective Non compartmental analysis calculates pharmacokinetic metrics related to the systemic exposure to a drug following administration e.g . area under the concentration time curve and peak concentration . We developed a new package in R called ncappc to perform a NCA and simulation based posterior... | ncappc performs i NCA and ii simulation based posterior predictive checks using NCA metrics. ncappc package is highly flexible and comprehensive. Can perform both individual and population level diagnostics. Produces output summarizing the diagnostic results including the model specific outliers. The output is easy to ... |
The cardiovascular and respiratory autonomic nervous regulation has been studied mainly by hemodynamic responses during different physical stressors . In this study dynamics of autonomic response to an orthostatic challenge was investigated by hemodynamic variables and by diverse linear and nonlinear indices calculate... | Nonlinear dynamic analysis shows sympathetic and vagal activities fluctuations. Hemodynamic analysis did not show any statistical differences between subjects. Blood pressure variability showed the highest differences between CON and SYN. In patients systolic blood pressure variability increased immediately after tilt ... |
Flooding is a widely occurring natural hazard that noticeably damages property people and the environment . In the context of climate change the integration of spatial planning with flood risk management has gained prominence as an approach to mitigating the risks of flooding . The absence of easy access to integrated... | Integration of spatial planning and flood risk management has three dimensions territorial policy and institutional. Developing infrastructures sharing both data and models and systems is a promising way to support integration. This paper conceptualises the Spatially Integrated Policy Infrastructure SIPI which focuses ... |
Dense disparity map is required by many great 3D applications. In this paper a novel stereo matching algorithm is presented. The main contributions of this work are three fold. Firstly a new cost volume filtering method is proposed. A novel concept named two level local adaptation is introduced to guide the proposed f... | Hghlights A novel local stereo matching algorithm with linear complexity is proposed. The overall algorithm generates the state of the art results. Two level local adaptation is introduced to guide the adaptive guided filtering. The novel post processing method handles both occlusions and textureless regions. A paralle... |
Since 2005 human and computer performance has been systematically compared as part of face recognition competitions with results being reported for both still and video imagery. The key results from these competitions are reviewed. To analyze performance across studies the cross modal performance analysis CMPA framewo... | We review experiments comparing humans and machines in NIST face recognition tests. We introduce the cross modal performance analysis CMPA framework. We apply the CMPA framework to the human machine experiments in the NIST tests. We propose a challenge problem to develop algorithms with human level performance. |
Background and objectives The diagnosis of Developmental Dysplasia of the Hip in infants is currently made primarily by ultrasound . However two dimensional ultrasound images capture only an incomplete portion of the acetabular shape and the alpha and beta angles measured on 2DUS for the Graf classification technique ... | New method to calculate alpha angle for DDH classification from ultrasound 2DUS . New modality independent rounding index M to quantify acetabular rounding. Proposed indices tested on 114 scans and gave 95.7 AUC for normal vs dysplastic. Indices are modality independent and extendable to modalities like CT and MRI. |
Background and objective Progress in biomedical engineering has improved the hardware available for diagnosis and treatment of cardiac arrhythmias . But although huge amounts of intracardiac electrograms can be acquired during electrophysiological examinations there is still a lack of software aiding diagnosis . The d... | Need for novel algorithms in diagnosis and treatment of cardiac arrhythmias. Combined development using MATLAB and C VTK library. Allows for rapid implementation of new algorithms. Interactive visualization of cardiac anatomy measured data and analysis results. Promotes interdisciplinary research and discussion. |
In this paper we propose an album oriented face recognition model that exploits the album structure for face recognition in online social networks. Albums usually associated with pictures of a small group of people at a certain event or occasion provide vital information that can be used to effectively reduce the possi... | We propose a face recognition model based on albums in online social networks. Albums tend to be composed of many pictures of a small group of people. Limiting the set of unique labels and using album level features improve recognition. We present two systems to learn how best to use these social features. We validate ... |
Background and objective Methods used in image processing should reflect any multilevel structures inherent in the image dataset or they run the risk of functioning inadequately . We wish to test the feasibility of multilevel principal components analysis to build active shape models for cases relevant to medical and ... | mPCA in ASMs can be used in medical and dental image analysis. Results provided by mPCA in initial studies appear to be sensible. Between and within subject variations are modelled correctly using mPCA. mPCA has more flexibility control and accuracy than standard PCA. mPCA is the correct method of combining sets of lan... |
Background Accurate segmentation of human head on medical images is an important process in a wide array of applications such as diagnosis facial surgery planning prosthesis design and forensic identification . Objectives In this study a Bayesian method for segmentation of facial tissues is presented . Segmentation cl... | Bayesian method provides resolution enhanced segmentation of human head. Segmentation classes incllude muscle bone fat air and skin. Tests were performed on 3D MR and CT images as well as registered MR CT images. The most successful results were obtained by the information fusion of MR and CT. Free parameters of the al... |
The assessment of microcirculation spatial heterogeneity on the hand skin is the main objective of this work . Near infrared spectroscopy based 2D imaging is a non invasive technique for the assessment of tissue oxygenation . The haemoglobin oxygen saturation images were acquired by a dedicated camera during baseline ... | We study oxygen saturation by vascular occlusion test. NIRS camera captured 2D images of hand during ischaemia and in perfusion. We applied edge detection and segmentation to NIRS images. With the applied methods we can visualize the oxygenation changes. The method allows to quantitate and visualize oxygenation at the ... |
Background and objective We live our lives by the calendar and the clock but time is also an abstraction even an illusion . The sense of time can be both domain specific and complex and is often left implicit requiring significant domain knowledge to accurately recognize and harness . In the clinical domain the moment... | Multifaceted aspects in time and time oriented concepts. Comparison of clinical data models in handling time. Ontologies of representation and reasoning about time in the clinical domain. Constructing the timelines for the medical histories of patients. Temporal concept coreference resolution problem. |
In crisis situations a seamless ubiquitous communication is necessary to provide emergency medical service to save people s lives . An excellent prehospital emergency medicine provides immediate medical care to increase the survival rate of patients . On their way to the hospital ambulance personnel must transmit real... | In emergency and crisis situations many communication channels can be unserviceable because of damage to equipment or loss of power. Thus data transmission over wireless communication to achieve uninterrupted network services is a major obstacle. The proposed middleware can sense its operating environment and optimize ... |
Cataract is defined as a lenticular opacity presenting usually with poor visual acuity . It is one of the most common causes of visual impairment worldwide . Early diagnosis demands the expertise of trained healthcare professionals which may present a barrier to early intervention due to underlying costs . To date stu... | Fundus image analysis provides great potentials for automatic cataract diagnosis. Ensemble learning is exploited for combining multiple models to improve the performance. Three independent feature sets i.e. wavelet sketch and texture based features are utilized. Two base learning models i.e. Support Vector Machine and ... |
Background and objective The automatic classification of breast imaging lesions is currently an unsolved problem . This paper describes an innovative representation learning framework for breast cancer diagnosis in mammography that integrates deep learning techniques to automatically learn discriminative features avoi... | Innovative representation learning framework for breast cancer lesion classification. A hybrid CNN method to learn image based features in a supervised way. New breast cancer benchmarking dataset to support computer aided diagnosis methods. |
Nowadays the diagnosis and treatment of pelvic sarcoma pose a major surgical challenge for reconstruction in orthopedics . With the development of manufacturing technology the metal 3D printed customized implants have brought revolution for the limb salvage resection and reconstruction surgery . However the tumor rese... | A navigation system was developed for pelvic tumor resection and reconstruction. A novel method for tracking the 3D printed patient specific implant was proposed. Both the phantom and clinical case study demonstrated the system feasibility. The high and stable accuracy regarding TRE demonstrated the system repeatabilit... |
Iterative proportional fitting is a widely used method for spatial microsimulation . The technique results in non integer weights for individual rows of data . This is problematic for certain applications and has led many researchers to favour combinatorial optimisation approaches such as simulated annealing . An alte... | Integerisation of weights obtained from iterative proportional fitting. Evaluation of five methods for integerisation. New method presented based on truncation replication and sampling TRS . The new method outperforms previously published integerisation strategies. Easily reproducible results using publicly available R... |
Background and objectives Computer aided analysis of mammograms has been employed by radiologists as a vital tool to increase the precision in the diagnosis of breast cancer . The efficiency of such an analysis is dependent on the employed mammogram enhancement approach as its major role is to yield a visually improve... | NPF framework serves to catalyze the computer aided analysis of mammograms. It provides the radiologists with improved mammograms for precision in diagnosis. An extension of NPF for sharpening and edge enhancement of mammograms is presented. Integration of LIP model provides enhancement response in coherence to HVS. Th... |
Background Diabetes mellitus is associated with an increased risk of liver cancer and these two diseases are among the most common and important causes of morbidity and mortality in Taiwan . Purpose To use data mining techniques to develop a model for predicting the development of liver cancer within 6 years of diagno... | Developed a liver cancer prediction model for type II diabetic patients. Found the risk factors of liver cancer for type II diabetic patients. Built a web based application for liver cancer prediction for diabetic patient. Provided methods and model facilitating clinicians to remind those diabetic patients prevent live... |
The mathematical modeling of physical and biologic systems represents an interesting alternative to study the behavior of these phenomena . In this context the development of mathematical models to simulate the dynamic behavior of tumors is configured as an important theme in the current days . Among the advantages re... | To formulate and to solve a multi objective optimal control problem applied to treatment of tumors. To minimize the cancerous cells concentration and the drug concentration. The results demonstrated that an optimal protocol can be obtained considering both objectives. |
To facilitate the performance comparison of new methods for sleep patterns analysis datasets with quality content publicly available are very important and useful . We introduce an open access comprehensive sleep dataset called ISRUC Sleep . The data were obtained from human adults including healthy subjects subjects ... | A publicly available sleep dataset called ISRUC Sleep is introduced. It contains data of healthy and patient subjects with different characteristics. Two recording sessions per subject are included in subgroup II of the dataset. ISRUC Sleep were evaluated using the ASSC method SSM4S. Effects of sleep disorders diseases... |
Dictionary learning plays a crucial role in sparse representation based image classification . In this paper we propose a novel approach to learn a discriminative dictionary with low rank regularization on the dictionary . Specifically we apply Fisher discriminant function to the coding coefficients to make the dictio... | Learn a discriminative dictionary with low rank regularization Fisher discriminant function is applied to the coding coefficients. IPM and ALM algorithms are adopted to solve our objective function. |
Background and objective Cosmetic outcome of breast cancer conservative treatment remains without a standard evaluation method . Subjective methods in spite of their low reproducibility continue to be the most frequently used . Objective methods although more reproducible seem unable to translate all the subtleties in... | The BCCT.core is a computer program used for the esthetic evaluation of breast cancer conservative treatment. The BCCT.core software has been used by centres worldwide for clinical use and research. Several publications have confirmed its easiness of use and reproduciblity. |
This paper deals with model based pose estimation . We propose a direct approach that takes into account the image as a whole . For this we consider a similarity measure the mutual information . Mutual information is a measure of the quantity of information shared by two signals . Exploiting this measure allows our me... | We tackle the 3D model based tracking using the entire image and a textured 3D model. We propose a nonlinear optimization of the problem based on mutual information. Mutual information deals with the different modalities of real and virtual images. Our proposed method withdraws feature detection and matching issues. Re... |
To extend the use of wearable sensor networks for stroke patients training and assessment in non clinical settings this paper proposes a novel remote quantitative Fugl Meyer assessment framework in which two accelerometer and seven flex sensors were used to monitoring the movement function of upper limb wrist and fing... | A novel remote quantitative Fugl Meyer assessment FMA framework was proposed for stroke patients. Seven training exercises were designed to represent the upper limb related 33 items in FMA scale. Ensemble machine learning and RRelief algorithm were applied to establish the quantitative assessment model. The proposed fr... |
This paper addresses the general problem of robust parametric model estimation from data that has both an unknown and possibly majority fraction of outliers as well as an unknown scale of measurement noise. We focus on computer vision applications from image correspondences such as camera resectioning estimation of th... | robust scale estimation without a breakdown point insensitive to inlier noise distribution efficient and practical application to many computer vision problems |
Psoriasis is an autoimmune skin disease with red and scaly plaques on skin and affecting about 125 million people worldwide . Currently dermatologist use visual and haptic methods for diagnosis the disease severity . This does not help them in stratification and risk assessment of the lesion stage and grade . Further ... | Comparative analysis of systems with different feature sets. HOS features extraction for psoriasis images. Largest set of mathematical features ever computed for psoriasis images. Understanding the reliability analysis of the CADx system. Accurate system with 100 accuracy and 100 sensitivity and specificity. |
With the exponential growth in the world population and the constant increase in human mobility the possible impact of outbreaks of epidemics on cities is increasing especially in high density urban areas such as public transportation and transfer points . The volume and proximity of people in these areas can lead to ... | A novel approach to study Urban Airborne Disease spreading. Integrate as much information as possible in a simulation environment. GIS enabled city modeling and travel routing calculation. Synthesizing the population in a city and modeling people s daily behavior in the presence of epidemics. |
Background and objective In oral and maxillofacial surgery conventional radiographic cephalometry is one of the standard auxiliary tools for diagnosis and surgical planning . While contemporary computer assisted cephalometric systems and methodologies support cephalometric analysis they tend neither to be practical no... | Computer aided cephalometric systems tend not to be practical and intuitive. A new haptic enabled landmarking approach for 3D cephalometry is proposed. Several experimental tests were conducted to evaluate the proposed approach. Haptic technologies facilities the landmark selection process in 3D cephalometry. The hapti... |
In this paper how to calibrate a fixed multi camera system and simultaneously achieve a Euclidean reconstruction from a set of segments is addressed . It is well known that only a projective reconstruction could be achieved without any prior information . Here the known segment lengths are exploited to upgrade the pro... | A DLT like algorithm for Euclidean upgrading from segment lengths is proposed. The constraint equation is parameterized in a simple way. The plane at infinity is directly extracted from the intermediate results. This algorithm has higher accuracy than the existing linear algorithms. Weighting and nonlinear refinement f... |
Recent research emphasizes more on analyzing multiple features to improve face recognition FR performance. One popular scheme is to extend the sparse representation based classification framework with various sparse constraints. Although these methods jointly study multiple features through the constraints they just pr... | We propose two strategies for face recognition through multiple features. Our methods integrate multi feature fusion and dictionary learning. The fusion process and dictionary learning are learned simultaneously. Extensive experiments validate the merits of our methods. |
In this article a novel technique for fixation prediction and saccade generation will be introduced . The proposed model simulates saccadic eye movement to incorporate the underlying eye movement mechanism into saliency estimation . To this end a simple salience measure is introduced . Afterwards we derive a system mo... | Introducing a stochastic model for simulating eye movements Implementing the proposed model Implementing an algorithm for predicting saccades and fixations |
Intensity inhomogeneity often appears in medical images such as X ray tomography and magnetic resonance images due to technical limitations or artifacts introduced by the object being imaged . It is difficult to segment such images by traditional level set based segmentation models . In this paper we propose a new lev... | We constructed a new region based pressure force RBPF function. We proposed a novel level set based model for inhomogeneous image segmentation. We combine the local and global intensity information adaptively. The local image information can significantly increase image contrast. We apply a fast and simple level set me... |
In this paper we present the dfcomb R package for the implementation of a single prospective clinical trial or simulation studies of phase I combination trials in oncology . The aim is to present the features of the package and to illustrate how to use it in practice though different examples . The use of combination ... | R package dfcomb available for phase I combination clinical trials according to previous methodological paper. Implement a single prospective clinical trial or simulation studies of phase I combination trials in oncology. Features and illustration of the functions. Promote the use of innovative adaptive design for earl... |
Interventional cardiologists have a deep interest in risk stratification prior to stenting and percutaneous coronary intervention procedures . Intravascular ultrasound is most commonly adapted for screening but current tools lack the ability for risk stratification based on grayscale plaque morphology . Our hypothesis... | Coronary risk stratification. Machine learning to link two arteries. 56 grayscale features. Coronary tissue characterization. Classification accuracy 94.95 and AUC 0.95. |
One of the key elements of e learning platforms is the content provided to the students . Content creation is a time demanding task that requires teachers to prepare material taking into account that it will be accessed on line . Moreover the teacher is restricted by the functionalities provided by the e learning plat... | Content creation is a very time demanding task. RadEd is a web based framework with a smart editor to create image based exercises. RadEd provides teachers functionalities to prepare more realistic cases. RadEd allows learners to make more specific diagnosis. |
Background and objectives Because skin cancer affects millions of people worldwide computational methods for the segmentation of pigmented skin lesions in images have been developed in order to assist dermatologists in their diagnosis . This paper aims to present a review of the current methods and outline a comparati... | The clinical requirement for the early diagnosis of malignant skin lesions from images is introduced and justified. An up to date review about the proposed techniques for the image segmentation of pigmented skin lesions is presented. Additionally the tasks related to image acquisition and pre processing are also taken ... |
Background and objective This study proposes an infrastructure with a reporting workflow optimization algorithm in order to interconnect facilities reporting units and radiologists on a single access interface to increase the efficiency of the reporting process by decreasing the medical report turnaround time and to i... | We propose a workflow centric network architecture for teleradiology applications. We optimize inspection assignments to radiologists for medical reporting process. Subspecialty response time and workload parameters are improved for assignments. Solution gives better results for workflow efficiency compared to manual a... |
The human visual system is quite adept at swiftly detecting objects of interest in complex visual scene . Simulating human visual system to detect visually salient regions of an image has been one of the active topics in computer vision . Inspired by random sampling based bagging ensemble learning method an ensemble d... | We propose an ensemble dictionary learning EDL framework for saliency detection. The saliency detection within this framework is treated as a novelty detection problem. A novel dictionary atom reduction is proposed for boosting the distinctness of salient region. A good probabilistic interpretation is with the proposed... |
3D shape descriptor has been used widely in the field of 3D object retrieval . However the performance of object retrieval greatly depends on the shape descriptor used . The aims of this study is to review and compare the common 3D shape descriptors proposed in 3D object retrieval literature for object recognition and... | We model the common 3D shape descriptor from Kinect like depth image. We evaluate the 3D shape descriptor in object recognition. We introduce 3D shape descriptor performance frameworks. Shape distribution and local spin image outperformed other 3D shape descriptors. |
Despite the successes in the last two decades the state of the art face detectors still have problems in dealing with images in the wild due to large appearance variations . Instead of leaving appearance variations directly to statistical learning algorithms we propose a hierarchical part based structural model to exp... | We enrich face detection model by hierarchical structure and part subtype. We propose to explore the face body co occurrence to improve face detection. We achieve state of the art performance on FDDB AFW and a self annotated dataset. |
Background and objectives The lack of benchmark data in computational ophthalmology contributes to the challenging task of applying disease assessment and evaluate performance of machine learning based methods on retinal spectral domain optical coherence tomography scans . Presented here is a general framework for con... | A framework including data selection task assignment and annotation combination stages for a confidence based benchmark dataset for retinal image processing is proposed. A novel task assignment is used to remove data and reader biases. The annotation of readers is combined based on their accuracy and performance. The f... |
This paper focuses on activity recognition when multiple views are available. In the literature this is often performed using two different approaches. In the first one the systems build a 3D reconstruction and match that. However there are practical disadvantages to this methodology since a sufficient number of overla... | Data fusion based method for activity recognition using multiple views Straightforward architecture to incorporate new cameras or new features Performance generally increases when there are more cameras and features. Comparable performance with that produced by reconstruction Detailed experiments to answer different sy... |
Objective The analysis of treatment effects in clinical trials usually focus on efficacy and safety in separate descriptive statistical analyses . The Q TWiST method has been proposed by Gelber in the 90s to enable a statistical comparison between two groups with a graphical representation by incorporating benefit and... | We developed a function written the R software performing Q TWiST analyses. Three health states are defined toxicity relapse and TWiST. Inputs are checked and descriptive comparative and graphical results are provided. Several arguments take the opportunity to add more options to the analyze. |
A method to obtain accurate hand gesture classification and fingertip localization from depth images is proposed . The Oriented Radial Distribution feature is utilized exploiting its ability to globally describe hand poses but also to locally detect fingertip positions . Hence hand gesture and fingertip locations are ... | A novel use of the ORD feature to both globally and locally characterize hands A dataset for hand gesture classification and fingertip localization is proposed. We reduce the search space of fingertip locations conditioned to a hand gesture. A new cost function to solve the graph matching problem of fingertip localizat... |
Background and Objective Iterative reconstruction from Compton scattered data is known to be computationally more challenging than that from conventional line projection based emission data in that the gamma rays that undergo Compton scattering are modeled as conic projections rather than line projections . In convent... | Acceleration of iterative Compton camera reconstruction using graphics processing unit. Exactly matched pair of conic projector and backprojector. Significantly reduced reconstruction time without loss of accuracy. Improvement of reconstruction accuracy in advanced iterative methods. |
In this paper initially the impact of mask spoofing on face recognition is analyzed . For this purpose one baseline technique is selected for both 2D and 3D face recognition . Next novel countermeasures which are based on the analysis of different shape texture and reflectance characteristics of real faces and mask fa... | 2D and 3D face recognition systems are vulnerable to mask spoofing. Countermeasures are proposed based on reflectance texture and depth analysis. Reflectance analysis provides best performance to detect 3D mask attacks. Fusion of countermeasures increases the mask spoofing detection performance. Classification accuracy... |
Finding regions of interest is a fundamentally important problem in the area of computer vision and image processing . Previous studies addressing this issue have mainly focused on investigating chromatic cues to characterize visually salient image regions while less attention has been devoted to monochromatic cues . ... | We study monochromatic cues in the modeling of bottom up attention. We propose a novel monochromatic cue for ROI detection. Experimental results demonstrate the effectiveness of our method. |
Concurrently obtaining an accurate robust and fast global registration of multiple 3D scans is still an open issue for modern 3D modeling pipelines especially when high metric precision as well as easy usage of high end devices structured light or laser scanners are required. Various solutions have been proposed either... | Goal new approach to enable global registration of large collections of point sets. We consider an optimization on a manifold for global registration of multiple scans. We evidence computational and convergence issues in the original approach. We propose computationally effective correspondence update and other improve... |
An extensive in depth study of cardiovascular risk factors seems to be of crucial importance in the research of cardiovascular disease in order to prevent the chance of developing or dying from CVD . The main focus of data analysis is on the use of models able to discover and understand the relationships between diffe... | An epidemiologic system analysis of cardiovascular risk is presented through a Bayesian network model. The Bayesian network model can serve as a generic tool for application oriented activities explanation prediction monitoring and prevention. Due to cardiovascular disease is multifactorial the application of this kind... |
Geographical masking is the conventional solution to protect the privacy of individuals involved in confidential spatial point datasets . The masking process displaces confidential locations to protect individual privacy while maintaining a fine level of spatial resolution . The adaptive form of this process aims to f... | An alternative adaptive geographical masking method referred to as Adaptive Areal Elimination AAE is proposed. K anonymized areas can be safely disclosed as well without increasing the risk of re identification. For an actual K anonymity random perturbation of AAE preserves the spatial characteristics better the other ... |
To determine initial velocities of enzyme catalyzed reactions without theoretical errors it is necessary to consider the use of the integrated Michaelis Menten equation . When the reaction product is an inhibitor this approach is particularly important . Nevertheless kinetic studies usually involved the evaluation of ... | A method for the study of enzyme kinetics in the presence of two inhibitors. Integrated Michaelis Menten equations were developed to carry out the analysis. This methodology is useful to discriminate the inhibition mechanisms. This method can be automated and applied in real time. An Excel template has been developed a... |
Background and Objective Viruses are infectious agents that replicate inside organisms and reveal a plethora of distinct characteristics . Viral infections spread in many ways but often have devastating consequences and represent a huge danger for public health . It is important to design statistical and computational... | We review the quantitative and qualitative behaviour of 22 infectious diseases caused by viruses. The information is compared and visualized by means of Multidimensional Scaling technique. The results are consistent with clinical practice. The proposed mathematical tools tackle a large number of virus and information. |
An electrocardiogram measures the electric activity of the heart and has been widely used for detecting heart diseases due to its simplicity and non invasive nature . By analyzing the electrical signal of each heartbeat i.e . the combination of action impulse waveforms produced by different specialized cardiac tissues... | Surveys the feature description methods and the learning algorithms employed. Also surveys the ECG signal preprocessing and the heartbeat segmentation techniques. Description of databases used for methods evaluation indicated by the AAMI standard. Discussion of limitations and drawbacks of the methods in the literature... |
Background and objective Injury of knee joint cartilage may result in pathological vibrations between the articular surfaces during extension and flexion motions . The aim of this paper is to analyze and quantify vibroarthrographic signal irregularity associated with articular cartilage degeneration and injury in the ... | Symbolic entropy approximate entropy and fuzzy entropy are used to measure the irregularity of knee vibroarthrographic signals. Mean standard deviation and root mean squared value parameters of the signal envelope amplitude are computed to characterize the signal fluctuations. Gender dependent statistics of entropy and... |
We study the impact of settlement sizes on network connectivity in a spatial setting . First we develop a model of geometric urban networks that posits a positive relationship between connectivity and size . Empirical evidence is then presented validating the model prediction that local links exhibit super linear scal... | A theoretical model of urban networks is developed linking connectivity to city sizes. The theoretical model predicts inter city links scale linearly while same city connections exhibit super linear scaling. The data for the U.S. New England and South Korea support the theoretical model s predictions. Agent based simul... |
One of the greatest challenges while working on image segmentation algorithms is a comprehensive measure to evaluate their accuracy . Although there are some measures for doing this task but they can consider only one aspect of segmentation in evaluation process . The performance of evaluation measures can be improved... | A genetic programming GP approach is proposed to design a combined evaluation measure for image segmentation algorithms. The proposed approach improved the performance of image segmentation evaluation. A new fitness evaluation scheme is proposed for GP. A new evaluation measure based on intra region similarity and inte... |
Confronted with the explosive growth of web images the web image annotation has become a critical research issue for image search and index. Sparse feature selection plays an important role in improving the efficiency and performance of web image annotation. Meanwhile it is beneficial to developing an effective mechani... | Spare feature selection method based on l 2 1 2 matix norm is proposed. Graph Laplacian based semi supervised learning is exploited. A effective algorithm for optimizing the objective function is introduced. The convergence of the algorithm is proven. Experiments demonstrate that the method is suitable for web image an... |
Hair segmentation is challenging due to the diverse appearance irregular region boundary and the influence of complex background . To deal with this problem we propose a novel data driven method named Isomorphic Manifold Inference . The IMI method assumes the coarse probability map and the binary segmentation map as a... | Similar coarse hair probability maps should correspond to similar segmentations. Data driven Isomorphic Manifold Inference is proposed to exploit the shape priors. We integrate the inferred shape color and texture into a unified framework. Besides hair segmentation we also validate our IMI on horse class segmentation. ... |
Automatic pain recognition from videos is a vital clinical application and owing to its spontaneous nature poses interesting challenges to automatic facial expression recognition research . Previous pain vs no pain systems have highlighted two major challenges ground truth is provided for the sequence but the presence... | Target problem of pain classification and localization using weakly labeled pain videos Algorithm combines multiple instance learning with multiple segment representation. Rigorous experiments show that our algorithm achieves state of the art performance. Empirically evaluate the contributions of different components o... |
Multipath interference of light is the cause of important errors in Time of Flight ToF depth estimation. This paper proposes an algorithm that removes multipath distortion from a single depth map obtained by a ToF camera. Our approach does not require information about the scene apart from ToF measurements. The method ... | Multipath Interference MpI is a non systematic error in Time of Flight ToF imaging. MpI causes severe distortions in ToF measurements. We propose a ray tracing model that renders realistic ToF images including MpI. We use nonlinear optimization to find the scene that best renders the input image. We present results wit... |
Background and objective In clinical examinations and brain computer interface research a short electroencephalogram measurement time is ideal . The use of event related potentials relies on both estimation accuracy and processing time . We tested a particle filter that uses a large number of particles to construct a ... | We constructed a model describing event related potential ERP by trend model. A 400 particle filter produced the best mean square error in the ERP estimation. The filter reduced an amount of average by 42.8 compared with simple averaging. The filter could estimate P300 robustly by application to EEG in P300 speller. Re... |
Recent advances in public sector open data and online mapping software are opening up new possibilities for interactive mapping in research applications . Increasingly there are opportunities to develop advanced interactive platforms with exploratory and analytical functionality . This paper reviews tools and workflow... | Interactive online mapping tools are reviewed with workflows for site production. The mapping case studies illustrate best practice alongside the methods used. All the case study sites received tens of thousands of visitors. Exploratory interactive mapping functionality is increasingly extensive. Analytical functionali... |
Automatically focusing and seeing occluded moving object in cluttered and complex scene is a significant challenging task for many computer vision applications . In this paper we present a novel synthetic aperture imaging approach to solve this problem . The unique characteristics of this work include the following To... | This is a novel work to solve camera array auto focusing and occluded object imaging simultaneously. A unified framework is proposed to achieve seamless interaction between focusing and imaging. An optimization algorithm is presented to dynamically estimate the focus plane. A visibility analysis is proposed to remove t... |
This paper proposes a new method for self calibrating a set of stationary non rotating zooming cameras . This is a realistic configuration usually encountered in surveillance systems in which each zooming camera is physically attached to a static structure . In particular a linear yet effective method to recover the a... | A simple linear method to self calibrate stationary zooming cameras Neither special camera motion nor scene knowledge required Two zoom images of a stationary camera provide two parallel principle planes. The plane at infinity can be located from two or more such zooming cameras. Simulation laboratory and real scene ex... |
This paper proposes a novel active learning framework and combines it with semi supervised learning for segmenting Crohns disease tissues from abdominal magnetic resonance images . Robust fully supervised learning based classifiers require lots of labeled data of different disease severities . Obtaining such data is t... | We propose an interactive method combining semi supervised learning SSL and active learning AL for segmenting Crohns disease affected regions in MRI. A novel query strategy for AL has been proposed that makes use of context information to identify query samples. Compared to fully supervised methods we obtain high segme... |
Aim Medical data mining processes for extracting patterns from large datasets . In the current study we intend to assess different medical data mining approaches to predict ischemic stroke . Materials and methods The collected dataset from Turgut Ozal Medical Centre Inonu University Malatya Turkey comprised the medica... | We assessed different medical data mining approaches to predict ischemic stroke. Grid search were used for improving classification performance of the models. The accuracy and AUC values were higher than 0.8947 and 0.8953 respectively. SVM and SGB models yielded remarkable performance for classifying ischemic stroke. |
Human action recognition has lots of real world applications such as natural user interface virtual reality intelligent surveillance and gaming . However it is still a very challenging problem . In action recognition using the visible light videos the spatiotemporal interest point based features are widely used with g... | A comprehensive evaluation of STIP based features on depth based action recognition Two schemes to refine STIP features for a deeper understanding of their behaviors A fusion approach is developed which outperforms many state of the art methods. |
Background and objectives Angle closure disease in the eye can be detected using time domain Anterior Segment Optical Coherence Tomography . The Anterior Chamber characteristics can be quantified from AS OCT image which is dependent on the image quality at the image acquisition stage . To date to the best of our knowl... | A new quality assessment method for AS OCT images using wavelet based LBP features. It is a first work so far there is no objective assessment of AS OCT image quality. The proposed algorithm does not require any additional information from the AS OCT device. This work aimed at collecting high quality AS OCT images for ... |
Anatomical cine cardiovascular magnetic resonance imaging is widely used to assess the systolic cardiac function because of its high soft tissue contrast . Assessment of diastolic LV function has not regularly been performed due the complex and time consuming procedures . This study presents a semi automated assessmen... | A semi automatic method was proposed to assess the cardiac LV diastolic function. A non rigid registration was applied to track the endocardial boundary points. LV volume and filling rates are computed over the entire cardiac cycle. The peaks of early and late ventricular filling waves were detected automatically. Expe... |
We propose a measure of information gained through biometric matching systems . Firstly we discuss how the information about the identity of a person is derived from biometric samples through a biometric system and define the biometric system entropy or BSE based on mutual information . We present several theoretical ... | We propose an information theoretical measure for biometric systems. We present several useful properties and interpretations of the measure. We prove that the measure can be approximated by the relative entropy. We discuss how to evaluate the measure and show experimental evaluations. |
Brain ageing is followed by changes of the connectivity of white matter and changes of the grey matter concentration . Neurodegenerative disease is more vulnerable to an accelerated brain ageing which is associated with prospective cognitive decline and disease severity . Accurate detection of accelerated ageing based... | We proposed a novel computational approach for modeling the normal elderly subjects s brain age by connectivity analyses of networks of the brain. Principal component analysis PCA is applied to reduce the redundancy in network topological parameters. BP artificial neural network BPANN is improved by hybrid genetic algo... |
Background and objective Signal segmentation and spike detection are two important biomedical signal processing applications . Often non stationary signals must be segmented into piece wise stationary epochs or spikes need to be found among a background of noise before being further analyzed . Permutation entropy has ... | Permutation entropy PE is a fast method to evaluate the irregularity of signals. PE does not consider the average of amplitude values and equal amplitude values. We propose amplitude aware PE AAPE . We evaluate the AAPE method for signal segmentation and spike detection applications. |
Background and objective Heart failure due to iron overload cardiomyopathy is one of the main causes of mortality . The cardiomyopathy is reversible if intensive iron chelation treatment is done in time but the diagnosis is often delayed because the cardiac iron deposition is unpredictable and the symptoms are lately ... | Novel automatic cardiac T2 relaxation time estimation algorithm from MR images. Novel automatic ROI segmentation algorithm in cardiac MR images. Segmentation results from our technique are very close to the experts opinions. Cardiac T2 values from our technique are very close to that calculated by experts. Our method d... |
Background and objectives Text mining and semantic analysis approaches can be applied to the construction of biomedical domain specific search engines and provide an attractive alternative to create personalized and enhanced search experiences . Therefore this work introduces the new open source BIOMedical Search Engi... | The wealth of knowledge laying in biomedical publications is invaluable to make new scientific discoveries. Domain specific search engines aim to improve retrieval performance and to enhance user search experience. The BIOMedical Search Engine Framework aims to speed up the construction of biomedical domain specific se... |
Background and objective Hypokinetic dysarthria is a frequent speech disorder associated with idiopathic Parkinson s disease . It affects all dimensions of speech production . One of the most common features of HD is dysprosody that is characterized by alterations of rhythm and speech rate flat speech melody and impai... | We analysed neutral stress modified and rhymed speech in Parkinson s disease. We proposed quantitative prosodic analysis of poem recitation task. We showed rhythmical demands improve identification of hypokinetic dysarthria. We introduced a concept of permutation test in dysarthric speech analysis. |
This paper presents a matching strategy to improve the discriminative power of histogram based keypoint descriptors by constraining the range of allowable dominant orientations according to the context of the scene under observation . This can be done when the descriptor uses a circular grid and quantized orientation ... | Novel matching strategies for histogram based descriptors are presented. Global dominant orientation is used by exploiting the image context. A new 3D extensible framework to evaluate feature descriptors is introduced. 2D 3D comparisons with state of the art rotational invariant descriptors are reported. Results show t... |
The analysis of regular texture images is cast in a model comparison framework . Texel lattice hypotheses are used to define statistical models which are compared in terms of their ability to explain the images . This approach is used to estimate lattice geometry from patterns that exhibit translational symmetry . It ... | Regular texture patterns exhibiting translational symmetry were modelled. Model comparison was implemented using Bayes Information Criterion. Texel lattice geometry was estimated from e.g. images from a textile archive. Accuracy was better than other methods with which it was compared. |
Eye blinks are one of the most influential artifact sources in electroencephalogram recorded from frontal channels and thereby detecting and rejecting eye blink artifacts is regarded as an essential procedure for improving the quality of EEG data . In this paper a novel method to detect eye blink artifacts from a sing... | A novel method to detect eye blink artifacts from a single channel frontal EEG signal was proposed. Overall accuracy of detecting epochs contaminated by eye blink artifacts was markedly increased. An online experiment showed that our method is useful for headband type wearable EEG applications. A MATLAB package of our ... |
We introduce a new computational phonetic modeling framework for sign language recognition . This is based on dynamic static statistical subunits and provides sequentiality in an unsupervised manner without prior linguistic information . Subunit sequentiality refers to the decomposition of signs into two types of part... | A phonetic modeling approach for unsupervised sequentiality of dynamic static SUs. Model based sign segmentation and subunit modeling with HMMs. Construction of a sign to subunits data driven lexicon. Comparison of different signers pronunciations and unseen signer pronunciation compensation. Evaluation on data from th... |
Background and objective Cell migration differentiation proliferation and apoptosis are the main processes in tissue regeneration . Mesenchymal Stem Cells have the potential to differentiate into many cell phenotypes such as tissue or organ specific cells to perform special functions . Experimental observations illust... | A 3D model is developedto study how force induced substrate controls cell differentiation and or proliferation. Cells are cultured within 3D Neo Hookeanhyperelastic hydrogels with encapsulated magnetic nanoparticles. Internal forces can play an outstanding role in remotelycontrolling the lineage specification of MSCs a... |
Conventional particle filtering based visual ego motion estimation or visual odometry often suffers from large local linearization errors in the case of abrupt camera motion . The main contribution of this paper is to present a novel particle filtering based visual ego motion estimation algorithm that is especially ro... | Novel particle filtering based visual ego motion estimation algorithm robust to abrupt camera motion. Multi layered importance sampling via particle swarm optimization PSO Reformulation of the conventional vector space PSO algorithm by geometric special Euclidean group SE 3 Efficient convergence of PSO and real time vi... |
Glaucoma is a disease of the retina which is one of the most common causes of permanent blindness worldwide . This paper presents an automatic image processing based method for glaucoma diagnosis from the digital fundus image . In this paper wavelet feature extraction has been followed by optimized genetic feature sel... | In this work glaucoma identification is done using wavelet features of optic disk. Wavelet features are extracted from segmented and blood vessels removed optic disk. Several machine learning algorithms are used for prominent feature selection. Genetic algorithm is used to reduce the dimensionality of feature vector. A... |
Automatic facial landmarking is a crucial prerequisite of many applications dedicated to face analysis. In this paper we describe a two step method. In a first step each landmark position in the image is predicted independently. To achieve fast and accurate localizations we implement detectors based on a two stage clas... | Multi Kernel Appearance Model is a new facial point detector. Multi Kernel SVM combines multi resolution features. A SVM cascade combines increasingly complex kernels to reduce the computational time. A shape model fitting introduces constraints between SVM detections. |
Abnormal values of vital parameters such as hypotension or tachycardia may occur during anesthesia and may be detected by analyzing time series data collected during the procedure by the Anesthesia Information Management System . When crossed with other data from the Hospital Information System abnormal values of vita... | Methods for automatic detection of abnormal vital signs occurring during anesthesia are poorly documented in the literature. Existing methods are not reproducible between databases. We have developed a data model and an algorithm that allow automatic detection of abnormal values of vital parameters occurring during ane... |
Background The simultaneous acquisition of electroencephalogram and functional magnetic resonance imaging provides both high temporal and spatial resolution when measuring brain activity . A real time analysis during a simultaneous EEG fMRI acquisition is essential when studying neurofeedback and conducting effective ... | A real time OBS was proposed for the real time removal of ballistocardiogram artifacts. The real time OBS performed better than rtAAS in the real time removal of BCG artifacts. A real time analysis during a simultaneous EEG fMRI acquisition is essential to achieving neurofeedback. |
Transfer function design is a key issue in direct volume rendering . Many sophisticated transfer functions have been proposed to visualize boundaries in volumetric data sets such as computed tomography and magnetic resonance imaging . However it is still conventionally challenging to reliably detect boundaries . Meanw... | Human centric boundary extraction criteria and new boundary model. A novel boundary visualization method though a what material you pick is what boundary you see approach. Point to material distance measure. A complete application. |
Background and objective Integrative approaches for the study of biological systems have gained popularity in the realm of statistical genomics . For example The Cancer Genome Atlas has applied integrative clustering methodologies to various cancer types to determine molecular subtypes within a given cancer histology ... | Integrative approaches for the study of biological systems have gained popularity.. There is lack of integrative simulation techniques to assess systems biology methods. InterSIM bridges this gap by simulating complex interrelated genomic data. InterSIM allows researchers to evaluate and test new integrative methods. T... |
Current image matting methods based on color sampling use color to distinguish between foreground and background pixels . However they fail when the corresponding color distributions overlap . Other methods that define correlation between neighboring pixels based on color aim to propagate the opacity parameter from kn... | The texture information is leveraged to complement color in image matting. The proposed method combines color and texture information in matting process. The proposed combined method presents the best among current matting methods. The proposed method has first ranks with respect to MSE and Gradient error. Several expe... |
Background and objectives The automated analysis of indirect immunofluorescence images for Anti Nuclear Autoantibody testing is a fairly recent field that is receiving ever growing interest from the research community . ANA testing leverages on the categorization of intensity level and fluorescent pattern of IIF image... | We propose ANAlyte an automated tool for HEp 2 image analysis. ANAlyte is a valid solution to the problem of ANA test automatization. We integrate modules for the full characterization of HEp 2 slides. We propose a new technique for HEp 2 intensity characterization. Our tool is validated on two different public benchma... |
Although direct volume rendering has become a commodity effective rendering of interesting features is still a challenge . In one of active DVR application fields the medicine radiologists have used DVR for the diagnosis of lesions or diseases that should be visualized distinguishably from other surrounding anatomical... | A new 3D spatial field for visualizing constricted tubular structures is proposed. Constrictions are quantified by new measures using the localized structure analysis. A new transfer function maps the degree of constriction to color and opacity. Our method provides intuitive adjustment of the visual appearance of const... |
Forecasting the variability of dwellings and residential land is important for estimating the future potential of environmental technologies . This paper presents an innovative method of converting average residential density into a set of one hectare 3D tiles to represent the dwelling stock . These generic tiles incl... | A statistical method of forecasting housing stock variability from average density A unique method for studying the variability of dwellings by type and age bands The 3D tile typologies include both dwelling characteristics and the plot sizes. The tiles are useful for estimating the potential for sustainable technologi... |
Background and objective Ankle motion and proprioception in multiple axis movements are crucial for daily activities . However few studies have developed and used a multiple axis system for measuring ankle motion and proprioception . This study was designed to validate a novel ankle haptic interface system that measur... | A novel measurement system can be used to measure ankle ROM and perception in multiple planes under weight bearing condition. The programmable graphic user interface and data management for this developed system with excellent validity was established. The proprioception measures JPS DE JPS AE and JPS VE for differenti... |
Mobile devices namely phones and tablets have long gone smart . Their growing use is both a cause and an effect of their technological advancement . Among the others their increasing ability to store and exchange sensitive information has caused interest in exploiting their vulnerabilities and the opposite need to pro... | Face and iris authentication on mobile Fusion strategy driven by response reliability Spoofing detection for mobile face recognition Best sample selection for higher accuracy Optimization for Android |
Background Dynamic measurements of human muscle fascicle length from sequences of B mode ultrasound images have become increasingly prevalent in biomedical research . Manual digitisation of these images is time consuming and algorithms for automating the process have been developed . Here we present a freely available... | We have developed a freely available software package for semi automated tracking of muscle fascicles in B mode ultrasound image sequences. Includes features to track multiple fascicles in multiple regions of the image and to correct for measurement drift with time. The software is available for Windows and MacOS as a ... |
End of preview. Expand in Data Studio
README.md exists but content is empty.
- Downloads last month
- 5