text string | label int64 | label_text string |
|---|---|---|
Annotated dataset for retinal fundus image segmentation; Vascular arcade and optic nerve This repository contains a set of manually generated segmentation masks derived from retinal fundus images from the public APTOS 2019 Blindness Detection dataset. The annotations correspond to two relevant anatomical structures in ... | 1 | EYE_IMAGING |
Diabetic Retinopathy The dataset consists of color fundus images categorized into five Diabetic Retinopathy (DR) severity levels. The No_DR category, with 1,805 images, represents healthy retinal scans without any signs of DR. The Mild category includes 370 images, showing early signs of microaneurysms, the initial ind... | 1 | EYE_IMAGING |
Messidor-2 The dataset used for the diabetic retinopathy diagnosis and uncertainty quantification task. Deep Learning Diabetic Retinopathy Fundus Image Medical Images Medical Imaging | 1 | EYE_IMAGING |
3D OCTA Microvascular Annotations Two OCTA datasets were employed in this study. The first is a clinical dataset that includes scans from both healthy individuals and patients with diabetic retinopathy, acquired at a typical macular field of view (3 × 3 mm). The second dataset consists of annotated scans from healthy s... | 1 | EYE_IMAGING |
Glaucoma Dataset: EyePACS-AIROGS-light-V2 | 1 | EYE_IMAGING |
Kaggle-EyePACS A public diabetic retinopathy dataset containing 88,702 images with image-level grading labels. diabetic retinopathy grading | 1 | EYE_IMAGING |
DRIVE and CHASE DB1 datasets Two benchmark datasets for blood vessel segmentation in retinal images blood vessel segmentation medical image analysis retinal images | 1 | EYE_IMAGING |
Duke University dataset Segmentation of retinal OCT B-scans into 7 retinal layers and accumulated fluid. Fluid segmentation Medical Imaging OCT B-scans Retinal layer segmentation | 1 | EYE_IMAGING |
Datasets from "In vivo volumetric analysis of retinal vascular hemodynamics in mice with spatio-temporal optical coherence tomography" Dataset DescriptionThis repository contains the raw data files that were used to generate Figures 2, 3, 4, 5, 6, and 8 in the manuscript. The file names correspond to the figure (or sub... | 1 | EYE_IMAGING |
Maetschke et al. dataset The dataset used in this study for glaucoma detection from 3D OCT imaging. 3D OCT imaging Deep learning Glaucoma detection | 1 | EYE_IMAGING |
Multimodal OCTA and Fundus Image dataset for detection of Diabetic Retinopathy This is a Multimodal OCTA and Fundus Image dataset curated for detection of Diabetic Retinopathy at Natasha Eye care and Research Institute. In all 224 images from 74 persons were captured. Two modalities for every individual were taken simu... | 1 | EYE_IMAGING |
CORN CORN1500 is a new corneal nerve dataset which was particularly designed for tortuosity grading tasks. The newly constructed CORN1500 aims to expand the dataset pool for tortuosity grading. Similar to CORN-3, all 1500 CCM in CORN1500 were acquired using a Heidelberg Retina Tomograph equipped with a Rostock Cornea M... | 1 | EYE_IMAGING |
Fundus dataset of MCTN classified, dataset of Myopia, Choroidal Neovascularization, Tessellation, Normal fundus Images Choroidal Disease Testbed Fundus Imaging Myopia Norm Estimate | 1 | EYE_IMAGING |
OIMHS dataset OIMHS dataset consists of 3859 B-scan images of 119 patients with pixel annotation of retina, macular hole, intraretinal cysts, and choroid. The quality of each image was evaluated including low signal strength, signal shield and image blur. We believe this dataset will allow interested researchers to bet... | 1 | EYE_IMAGING |
Fundus Image Dataset for Vessel Segmentation | 1 | EYE_IMAGING |
Edge-Aware Vessel Segmentation Based on Local-to-Global Supervision ‌DRIVE Dataset‌: The DRIVE dataset consists of 40 fundus images collected from 7 patients with retinal disease and 33 healthy individuals. Each image has a resolution of 584 × 565 pixels. A total of 20 images are used for training, while the ... | 1 | EYE_IMAGING |
An Annotated Corneal Confocal Microscopy Dataset for Nerve Segmentation and Clinical Characterization Corneal confocal microscopy enables in vivo visualization of the subbasal nerve plexus, yet most available datasets provide only centerline annotations or are restricted in accessibility, limiting pixel level segmentat... | 1 | EYE_IMAGING |
Retinal Disease Classification Description:
Retinal Disease Classification According to the WHO’s 2019 World Report on Vision, an estimated 2.2 billion people worldwide suffer from visual impairments, with at least 1 billion cases being preventable or yet to be addressed. The global eye care landscape faces significan... | 1 | EYE_IMAGING |
Bangladesh Multi-Disease Retinal Dataset (BMRD) This Dataset contains 1786 original color fundus images of Diabetic Retinopathy (DR), Age related Macular Degeneration (AMD) and Glaucoma Sight threatening Eye Diseases. These eye images were collected from three renowned Eye Hospitals of Bangladesh namely Khulna Eye Hosp... | 1 | EYE_IMAGING |
SYN-OCT The SYN-OCT dataset consists of 200,000 synthetic cross-sectional circumpapillary OCT images, including 100,000 images generated to represent glaucoma eyes and 100,000 images generated to represent healthy eyes. These synthetic images were produced using generative models trained on real OCT scans collected fro... | 1 | EYE_IMAGING |
Retinal Fluid Segmentation Dataset A dataset of 228 OCT volumes with a total of 11,172 B-scans (66 Heidelberg Spectralis and 162 Zeiss Cirrus volumes). Medical Dataset OCT Retinal Imaging | 1 | EYE_IMAGING |
JustRAIGS challenge training data set The image data was provided by EyePACS LLC, Santa Cruz, CA, USA. Labels were provided by the Rotterdam Ophthalmic Institute, Rotterdam Eye Hospital, Rotterdam, The Netherlands.
The JustRAIGS dataset is divided into a training subset with 101,442 gradable fundus images, spanning bo... | 1 | EYE_IMAGING |
Comprehensive 3D Optical Coherence Tomography Dataset for AMD and DME: Facilitating Deep-Learning-Based 3D Segmentation 3D optical coherence tomography (OCT) dataset for 3D AMD and DME segmentation. Bioinformatic methods development | 1 | EYE_IMAGING |
Macular OCT Images Dataset A dataset of macular OCT images of healthy controls and patients with diabetic macular edema OCT images diabetic macular edema healthy controls macular OCT images | 1 | EYE_IMAGING |
HRF The HRF dataset contains 45 images, which is divided into 15/15/15 images for healthy patients, patients with diabetic retinopathy and glaucomatous patients. diabetic retinopathy medical image analysis medical imaging retinal vessel segmentation | 1 | EYE_IMAGING |
PALM and Eyepacs datasets The PALM and Eyepacs datasets are used for fundus disease localization. The PALM dataset contains 1200 standardized fundus images, divided into three groups: training, validation, and testing, each group containing 400 images. The Eyepacs dataset contains 35,126 diabetic retinal fundus images,... | 1 | EYE_IMAGING |
DS3 A dataset of retinal images for the classification of diabetic retinopathy and age-related macular degeneration. Age-related macular degeneration Diabetic retinopathy Retinal images | 1 | EYE_IMAGING |
"Contrast Based Circular Approximation For Accurate And Robust Optic Disc Segmentation In Retinal Images" - Code A new method for automatic optic disc localization and segmentation is presented. The localization procedure combines vascular and brightness information to provide the best estimate of the optic disc center... | 1 | EYE_IMAGING |
Isfahan MISP dataset The Isfahan MISP dataset, consisting of retinography and angiography images of diabetic patients. Diabetic patients MISP dataset Retinal images medical imaging multimodal transfer learning retinal vascular segmentation | 1 | EYE_IMAGING |
Tunisian OCT Dataset for Multi-Disease Retinal Classification The Retinal-OCT-Clinical-Dataset is a collection of clinically acquired retinal OCT (Optical Coherence Tomography) images, designed to serve as a benchmark for deep learning models in retinal disease classification.The dataset includes images from multiple r... | 1 | EYE_IMAGING |
Diabetic Retinopathy Detection The dataset used in the diabetic retinopathy detection task in the conformal risk control framework. Diabetic Retinopathy Medical Imaging diabetic retinopathy medical imaging retinal fundus photos | 1 | EYE_IMAGING |
Fluorescein Angiography dataset The dataset is used for training and testing the proposed VTGAN model for fundus-to-angiogram synthesis and disease prediction. Fluorescein angiography Fundus photography Image synthesis Medical imaging | 1 | EYE_IMAGING |
Optic disk localization and segmentation in retinal images using vessel based feature projection approaches and active contour model Detection of an optic disk (OD) is crucial in the analysis of abnormality conditions such as optic disk shrinking/swelling, pale optic disk, having exudates and hemorrhages in the retinal... | 1 | EYE_IMAGING |
Cirrus dataset A dataset of OCT scans imaged with the Cirrus machine. Cirrus OCT scans central serous retinopathy diabetic retinopathy | 1 | EYE_IMAGING |
Refined IDRiD diabetic retinopathy; dataset; image segmentation; deep learning; proliferative diabetic retinopathy; anatomical context; medical imaging | 1 | EYE_IMAGING |
Deep Learning-Based Style Transfer from Ultra-Widefield to Traditional Fundus Photography This study included 451 anonymized UWF and 745 FP images. The ultra-widefield (UWF) images, which include both normal and pathologic retinal images, were based on Tsukazaki Optos Public Project. The traditional fundus photograph (... | 1 | EYE_IMAGING |
Spectralis dataset A dataset of OCT scans obtained with the Spectralis machine. OCT scans Spectralis age-related macular degeneration diabetic retinopathy | 1 | EYE_IMAGING |
Longitudinal Healthy Multi-modal AO Datasets With Two Timepoints Validation dataset for the paper:Chen, M., Cooper, R.F., Gee, J.C., Brainard, D.H. and Morgan, J.I., 2019. Automatic longitudinal montaging of adaptive optics retinal images using constellation matching. Biomedical Optics Express, 10(12), pp.6476-6496.<br... | 1 | EYE_IMAGING |
MCOA: A Comprehensive Multimodal Dataset for Advancing Deep Learning in Corneal Opacity Assessment The dataset included a total of 6,272 AS-OCT images and 392 corresponding anterior segment photographs. Each image of patients with corneal opacity was carefully annotated to include detailed cornea and corneal opacity in... | 1 | EYE_IMAGING |
vessel segmentation The DRIVE dataset, developed by Staal et al. (2004), utilizes the elongated structure of vessel ridges for automatic vessel classification in the Utrecht database. It consists of 40 images (565 × 584 pixels) in JPEG format, captured at a 45° field of view, divided into 20 training and 20 testing ima... | 1 | EYE_IMAGING |
EyeQ Retinal fundus images have been extensively used for clinical analysis of various ocular diseases, but the quality of fundus images is critical to the diagnosis and screening of eye diseases. Diabetic Retinopathy Fundus Images Medical Images Medical Imaging Retinal Diseases | 1 | EYE_IMAGING |
LLRetina: low-light color fundus image dataset The LLRetina dataset comprises paired low-light (LL) and high-light (HL) color fundus images. Based on flash irradiance during imaging, the dataset is divided into two subsets: LLRetina_LL1 and LLRetina_LL2. LLRetina_LL1 includes both healthy and diseased eyes, while LLRe... | 1 | EYE_IMAGING |
Synthetic Retinal OCT Dataset Generated using Class-Conditioned DDPM This dataset contains synthetic Optical Coherence Tomography (OCT) retinal images generated using class conditioned denoising diffusion probabilistic models (DDPMs). The images represent four diagnostic categories: choroidal neovascularization (CNV), ... | 1 | EYE_IMAGING |
"OD\/OC segmentation dataset" "The Retinal Fundus Glaucoma Challenge (REFUGE) dataset is our primary benchmark and is known for distribution differences between its subsets. We follow the official split with 1\\,200 training, 400 validation and 400 test images, each with expert OD\/OC masks and image-level glaucoma lab... | 1 | EYE_IMAGING |
OD localization using vessel based image orientation independent approaches Automatic Optic Disc (OD) localization is an essential problem in ophthalmic image processing. Knowing its location not only helps doctors with the early detection of sight threatening diseases but provide early diagnostic solutions for patient... | 1 | EYE_IMAGING |
"Ibn Al-Haitham Fundus Image Dataset" "The Ibn Al-Haitham Glaucoma Fundus Dataset is a curated medical imaging collection developed to support research in glaucoma segmentation and classification. The dataset was compiled in collaboration with the Ibn Al-Haitham Teaching Eye Hospital in Baghdad, Iraq, and includes 3,00... | 1 | EYE_IMAGING |
Automatic optic disc segmentation for edema classification and severity grading Optic disc edema (ODE) is a notable ocular symptom often seen in neuro-ophthalmic illnesses affecting the optic disc (OD). The etiologies underlying ODE are diverse, including a range of symptoms and consequences. The early detection of ODE... | 1 | EYE_IMAGING |
OCTA-Mosaicking Dataset This dataset includes 19 sets of superficial capillary plexus OCTA images captured from 10 patients (right and left eyes, except for patient #6, which only includes left eye images). Each set consists of three to five overlapping images covering the area from the optic disc to the retinal tempor... | 1 | EYE_IMAGING |
Data for "Deep learning approach for steep and flat corneal curvature prediction using fundus photography" Corneal curvature is one of the important factors consisting of refractive errors and related to several pathological conditions of the cornea. Fundus photography is the widely used tool to examine the eyes in the... | 1 | EYE_IMAGING |
CHASE_DB1 The CHASE_DB1 dataset is a publicly available dataset for retinal vessel segmentation. fundus photography medical image analysis medical imaging retinal blood vessels retinal vessel segmentation segmentation | 1 | EYE_IMAGING |
Bioptigen dataset A dataset of OCT scans obtained with the Bioptigen device. Bioptigen OCT scans age-related macular degeneration diabetic retinopathy | 1 | EYE_IMAGING |
Multi-Label Retinal Diseases (MuReD) Dataset Abstract:
Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per c... | 1 | EYE_IMAGING |
Rotterdam EyePACS AIROGS train set - Part 1/2 The Rotterdam EyePACS AIROGS train set contains 101,442 color fundus images from 54,274 subjects and approximately 500 different sites with a heterogeneous ethnicity. All images were assigned by human experts with the labels referable glaucoma, no referable glaucoma, or ung... | 1 | EYE_IMAGING |
Outer Retinal Corrugations: Imaging Dataset and Mechanical Models Dataset of the Data In Brief publication "Outer Retinal Corrugations: Imaging Dataset and Mechanical Models", Darabad et al.
This dataset contains the raw swept-source optical coherence tomography cross-sectional scans that were used to generate the mech... | 1 | EYE_IMAGING |
RAO (retinal artery occlusion) fundus photography dataset This dataset is a dataset collected to train a deep learning model for diagnosing retinal artery occlusion (RAO) through fundus photographs. A RAO diagnosis model should be developed to prevent a fatal disease in which blood vessels in the eye are blocked by emb... | 1 | EYE_IMAGING |
External Eye Photographs for Screening Referable Blepharitis This dataset contains external eye photographs curated from publicly available web sources to support research on screening referable blepharitis using camera-only images.
Intended use: Benchmark binary classification of blepharitis vs normal on external pho... | 1 | EYE_IMAGING |
Biomedical image processing by using image and signal processing Biomedical image processing is to integrate the medical knowledge to the digital imaging techniques for medical diagnostics. The prior knowledge of the specific medical content of images is needed to realize. Generally, it covers four main areas: Image fo... | 1 | EYE_IMAGING |
SUSTech-SYSU dataset for Automated Exudate Detection and Diabetic Retinopathy Grading SUSTech-SYSU dataset is a collection of images of diabetic retinopathy. Diabetic Retinopathy Fundus Images Image Segmentation | 1 | EYE_IMAGING |
FIQS Dataset (Fundus Image Quality Scores) We establish a new dataset, Fundus Image Quality Scores (FIQS), including 2246 fundus images with continuous numerical mean opinion scores (MOSs) ranging from 0 to 100 and three-level labels (``Good", ``Usable", and ``Reject"). This dataset was annotated manually by six profes... | 1 | EYE_IMAGING |
Ichallenge-AMD The Ichallenge-AMD dataset is used for age-related macular degeneration detection, containing 1200 annotated retinal fundus images. AMD Fundus Images Retinal Disease | 1 | EYE_IMAGING |
OCT This dataset consists of publicly available ophthalmic OCT images, including categories such as CNV (choroidal neovascularization), DRUSEN (macular drusen), and NORMAL (normal). It serves as the raw data for the study titled Super-Resolution Reconstruction of OCT Images Based on Frequency and Spatial Informati... | 1 | EYE_IMAGING |
Optic disk detection and segmentation approaches based on vessel network Precise localization of the optic disk (OD) in retinal images is one of the challenges in ophthalmic image processing. Although many efforts have been made towards finding automated numerical solutions, they often fail on retinal images characteri... | 1 | EYE_IMAGING |
Diurnal Measurements of Macular Thickness and Vessel Density on OCT Angiography in Healthy Eyes and Those With Ocular Hypertension and Glaucoma The uploaded dataset refers to a prospective study made in 2018-2020 | 1 | EYE_IMAGING |
Agreement of anterior segment measurements between Scheimpflug and swept-source OCT based instruments. Descriptive values for WTW and ACD obtained with Anterion, Pentacam and IOL Master. Optometry Optical Imaging Refractive Surgery | 1 | EYE_IMAGING |
FIVES dataset A fundus image dataset for artificial intelligence based vessel segmentation. artificial intelligence fundus image vessel segmentation | 1 | EYE_IMAGING |
Kaggle-DR The Kaggle-DR dataset is used for diabetic retinopathy grading, containing 35,126 high-resolution fundus images. Diabetic Retinopathy Fundus Images Retinal Disease | 1 | EYE_IMAGING |
OCTA-SVR-100K OCTA-100K-SVR is a large-scale synthetic dataset designed for training and evaluating Vision-Language Models (VLMs) on Optical Coherence Tomography Angiography (OCTA) analysis, particularly for explainable diabetic retinopathy (DR) staging. The dataset contains 100,000 pairs of synthetic OCTA images and s... | 1 | EYE_IMAGING |
Fundus-AVSeg AbstractRetinal artery-vein vessels are associated with systemic chronic diseases and cardiovascular diseases. Therefore, the accurate quantitative analysis of retinal artery-vein vessels is the preliminary basis of clinical diagnosis. Most of the existing artificial intelligence(AI) methods are data-drive... | 1 | EYE_IMAGING |
Multi-Label Retinal Disease (MuReD) Early detection of retinal diseases is one of the most important means of preventing partial or permanent blindness in patients. One of the major stumbling blocks for manual retinal examination is the lack of a sufficient number of qualified medical personnel per capita to diagnose d... | 1 | EYE_IMAGING |
Stanford Glaucoma Dataset A dataset of OCT scans consisting of glaucoma and non-glaucomatous cases obtained from four tertiary care eye hospitals located in four different countries. Glaucoma dataset OCT scans Optical Coherence Tomography | 1 | EYE_IMAGING |
Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER) - dataset The Finding Ophthalmic Risk and Evaluating the Value of Eye exams and their predictive Reliability (FOREVER) dataset was developed in a collaborative effort with Synoptik A/S under the supervision of a con... | 1 | EYE_IMAGING |
Diabetic Retinopathy Dataset The dataset used in this paper is not explicitly described. However, it is mentioned that the authors used a dataset for medical image classification, specifically for diabetic retinopathy diagnosis. Diabetic Retinopathy Medical Image Classification diabetic retinopathy doctor diagnoses exa... | 1 | EYE_IMAGING |
IDRiD dataset The IDRiD dataset consists of 516 fundus images and ground truths associated with the signs of Diabetic Retinopathy (DR) and Diabetic Macular Edema (DME). diabetic macular edema diabetic retinopathy retinal fundus images | 1 | EYE_IMAGING |
EyePACS dataset The EyePACS dataset is a collection of retinal fundus images of individuals potentially suffering from diabetic retinopathy (DR), an eye disease associated with diabetes that is one of the leading causes of visual impairment worldwide. Diabetic Retinopathy Grading Image Analysis diabetic retinopathy med... | 1 | EYE_IMAGING |
MESSIDOR With Lesion Annotations This dataset is derived from the original MESSIDOR dataset, enhanced with annotations for 10 pathological lesions and laser photocoagulation scars commonly observed in diabetic retinopathy. The annotated lesions include microaneurysms, dot and blot hemorrhages, cotton wool spots, intra-... | 1 | EYE_IMAGING |
Fractal evaluation in retinographies of individuals with different grades of diabetic retinopathy ABSTRACT Purpose To evaluate the retinal blood vascular network of the retinographies of patients with different grades of diabetic retinopathy. Methods Ninety Retinographies (MESSIDOR database) were used, with different g... | 1 | EYE_IMAGING |
Optic disc segmentation applied to retinal images with glaucoma, diabetic retinopathy, and optic disc edema Precise detection of the optic disc (OD) is an important task in the diagnosis of several eye diseases. To manage the massive visual-impaired population, there is a huge demand for efficient and remote retinal im... | 1 | EYE_IMAGING |
DRIVE The DRIVE dataset contains the curvilinear-shaped vessel. This dataset consists of 40 565 × 584 color retinal images, which are split into 20 training images and 20 test images. Computer Vision DRIVE Digital Retinal Images In-Context Learning Medical Image Analysis Medical Image Segmentation Meta-driven Visual Pr... | 1 | EYE_IMAGING |
The Foveal Avascular Zone Image Database (FAZID) The Foveal Avascular Zone (FAZ) is of clinical importance since the vascular arrangement around the fovea changes with disease and refractive state of the eye. In order to test and validate newly developed automated segmentation algorithms, we have created a public datas... | 1 | EYE_IMAGING |
Minimal dataset for the Casia 2 anterior segment OCT repeatability study This dataset contains repeat measurements in 300 eyes performed with the Tomey Casia2 anterior segment OCT. The special focus is set to the multivariate analysis of the power vectors including front and back surface measurements, RealPower, and th... | 1 | EYE_IMAGING |
HVDROPDB Datasets for Classification and Segmentation for Research in Retinopathy of Prematurity, Ranjana Agrawal HVDROPDB_RetCam_Neo_Segmentation and HVDROPDB_RetCam_Neo_Classification are the first datasets to be published for the retinal structure segmentation to identify the Retinopathy of Prematurity (ROP). They a... | 1 | EYE_IMAGING |
DRIVE Dataset The DRIVE dataset includes 40 color fundus photographs divided into two parts: 20 training images and 20 test images with manual segmentation of the vessels and binary masks of the Field of View. DRIVE Dataset Diabetic Retinopathy Retinal Image Segmentation Retinal Vessel Segmentation | 1 | EYE_IMAGING |
Topcon dataset A dataset of OCT scans obtained with the Topcon machine. OCT scans Topcon central serous retinopathy diabetic retinopathy | 1 | EYE_IMAGING |
Anatomical Characterization of an Optic Disc Notch Using SD-OCT in Glaucoma <i>Purpose:</i> To characterize anatomical dimensions of a disc notch using novel methods using spectral domain optical coherence tomography (SD-OCT). <i>Participants:</i> All age- and severity-matched glaucoma patients with disc notch (defined... | 1 | EYE_IMAGING |
Fairer AI in Ophthalmology via Implicit Fairness Learning for Mitigating Sexism and Ageism We collect the largest and most diverse fundus image dataset with data from over 8,405 patients representing a wide age range (0 to 90 years). The fundus dataset contains two types of advanced ultra-widefield and regular narrow-a... | 1 | EYE_IMAGING |
High-Resolution Retinal Fundus Dataset for Diabetic Retinopathy Detection from Aizawl This dataset contains high-resolution retinal fundus images collected from 495 unique subjects from Eye Care hospital in Aizawl, Mizoram, for diabetic retinopathy (DR) detection and classification. The images were captured over five y... | 1 | EYE_IMAGING |
Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks. Red lesion localization for MESSIDOR retinal images dataset using patch-based convolutional neural networks. Medical Imaging Retina Retinal Disease | 1 | EYE_IMAGING |
<i>SLID-E: Slit Lamp Image Dataset for Epiphora - A Benchmark Resource for Automated Tear Overflow Analysis</i> We introduce <i>SLID-E (Slit Lamp Imaging Dataset for Epiphora), the first comprehensive dataset for epiphora grading using slit lamp photographs. The dataset comprises </i><i>2,999</i><i> high-quality images... | 1 | EYE_IMAGING |
Retinal Cross-Domain Dataset A retinal cross-domain dataset consisting of 1,179 OCT volumes (57,771 B-scans after re-sampling Cirrus OCTs) with a total of 11,172 B-scans (66 Heidelberg Spectralis and 162 Zeiss Cirrus volumes). Medical Dataset OCT Retinal Imaging | 1 | EYE_IMAGING |
AROMA dataset AROMA dataset (Artifact Recognition on OCT-A, Modeling, and Analysis)
General description
One of the purpose of the AROMA study was to release a publicly available database, consisting of en face retinal SS OCT-A images labeled by artifact type and severity.
This dataset includes:
OCT-A scans (n = 2... | 1 | EYE_IMAGING |
Fundus Autofluorescence in Premature Infants Evaluation of fundus autofluorescence patters in premature infants. Ophthalmology Retina Retinal Imaging Ophthalmic Imaging Systems Autofluorescence Fundus Imaging | 1 | EYE_IMAGING |
Glaucoma Screening dataset PAPILA dataset contains fundus images and clinicaldata from 244 patients, with images from both eyes of each patient. This dataset is specifically designed to support research on early glaucoma diagnosis by leveraging comprehensive data from both eyes. Additionally, it include... | 1 | EYE_IMAGING |
Pre-screening of healthy retinal using geometrical features extracted from OCT retinal images Optical Coherence Tomography (OCT) retinal imaging is essential in ophthalmology for the diagnosis of eye diseases. To date, identifying healthy OCT retinal images can be challenging due to the large volume of images but limit... | 1 | EYE_IMAGING |
Classification of Diabetic Retinopathy using Pre-Trained Deep Learning Models Diabetic Retinopathy dataset containing 1000 color fundus images from KAGGLE Deep Learning Diabetic Retinopathy Fundus Images | 1 | EYE_IMAGING |
Hillel Yaffe Glaucoma Dataset (HYGD): A Gold-Standard Annotated Fundus Dataset for Glaucoma Detection Glaucomatous optic neuropathy (GON) is a leading cause of irreversible
blindness worldwide, affecting an estimated 64.3 million people globally with
projections reaching 111.8 million by 2040. Approximately 50% of case... | 1 | EYE_IMAGING |
<b>Fundus Image-Based Automatic Segmentation</b> In this study, we formulate the task of retinal disease diagnosis as a supervised multiclass classification problem. The goal is to automatically assign each fundus image to one of four predefined diagnostic categories: HR, DR, papilledema, or normal. This classification... | 1 | EYE_IMAGING |
An ultra-wide-field fundus image dataset for intelligent diagnosis of intraocular tumors This dataset consisted of 2,031 ultra-wide-field fundus images, encompassing five distinct types of intraocular tumors and normal images. It is provided as a zipped file containing six subfolders, each corresponding to a specific c... | 1 | EYE_IMAGING |
Optic Nerve Head Image Database (ODTiD) The Optic Disc tilt (ODT) or Tilted optic disc is a common finding in the general population and it is due to anomalous ocular development caused by the malclosure of the embryonic optic fissure. ODT is commonly associated with high myopia as well as other conditions (e.g., astig... | 1 | EYE_IMAGING |
Dataset for study on foveal avascular zone morphology, ganglion cell thickness, and high density perimetry in glaucoma This dataset contains data from a cross-sectional study evaluating foveal avascular zone (FAZ) morphology, macular vascular density (mVD), ganglion cell layer thickness (GCLT), and high density perimet... | 1 | EYE_IMAGING |
Diabetic CF-FA registration Keypoints Ground truth We present a publicly available dataset of keypoints for multimodal retinal image registration using Color Fundus (CF) and Fractional Anisotropy (FA) images. This dataset is derived from the diabetic retinal image dataset [1], consisting of 59 subjects (29 healthy cont... | 1 | EYE_IMAGING |
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