prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
|---|---|
What metrics were used to measure the TransNetR model in the TransNetR: Transformer-based Residual Network for Polyp Segmentation with Multi-Center Out-of-Distribution Testing paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the DDANet model in the DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the DoubleUnet-DCA model in the Dual Cross-Attention for Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the ResUNet++ + TTA + CRF model in the A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the U-Net++ model in the UNet++: A Nested U-Net Architecture for Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the ColonSegNet model in the Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the U-Net model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the ResUNet++ model in the ResUNet++: An Advanced Architecture for Medical Image Segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the ResUNet model in the Kvasir-SEG: A Segmented Polyp Dataset paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the RUPNet model in the RUPNet: Residual upsampling network for real-time polyp segmentation paper on the Kvasir-SEG dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU, FPS, F-measure |
What metrics were used to measure the MedT model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the GlaS dataset? | F1, IoU, Dice |
What metrics were used to measure the LoGo model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the GlaS dataset? | F1, IoU, Dice |
What metrics were used to measure the U-Net model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the GlaS dataset? | F1, IoU, Dice |
What metrics were used to measure the MDM model in the Masked Diffusion as Self-supervised Representation Learner paper on the GlaS dataset? | F1, IoU, Dice |
What metrics were used to measure the UCTransNet model in the UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer paper on the GlaS dataset? | F1, IoU, Dice |
What metrics were used to measure the HistoSeg model in the HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images paper on the GlaS dataset? | F1, IoU, Dice |
What metrics were used to measure the HyperDenseNet model in the HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation paper on the iSEG 2017 Challenge dataset? | Dice Score |
What metrics were used to measure the MERIT-GCASCADE model in the G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation paper on the CHASE_DB1 dataset? | DSC |
What metrics were used to measure the PVT-GCASCADE model in the G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation paper on the CHASE_DB1 dataset? | DSC |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the CHASE_DB1 dataset? | DSC |
What metrics were used to measure the Swin UNETR model in the Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the nnUNet model in the nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the MedNeXt-L (5x5x5) model in the MedNeXt: Transformer-driven Scaling of ConvNets for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the PHTrans model in the PHTrans: Parallelly Aggregating Global and Local Representations for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the nnFormer model in the nnFormer: Interleaved Transformer for Volumetric Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the PaNN model in the Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the MERIT model in the Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the MERIT-GCASCADE model in the G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the PVT-GCASCADE model in the G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the TransCASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the 3D-MTL model in the Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the MISSFormer model in the MISSFormer: An Effective Medical Image Segmentation Transformer paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the SAMed model in the Customized Segment Anything Model for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the PVT-CASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the FocalUNet model in the Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the DoubleUnet-DCA model in the Dual Cross-Attention for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the SETR model in the Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the SwinUnet model in the Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the UCTransNet model in the UCTransNet: Rethinking the Skip Connections in U-Net from a Channel-wise Perspective with Transformer paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the TransUNet model in the TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation paper on the Synapse multi-organ CT dataset? | Avg DSC, Avg HD |
What metrics were used to measure the DCSAU-Net model in the DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation paper on the ISIC 2018 dataset? | DSC |
What metrics were used to measure the RaBiT model in the RaBiT: An Efficient Transformer using Bidirectional Feature Pyramid Network with Reverse Attention for Colon Polyp Segmentation paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the TransResU-Net model in the TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp Segmentation paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the TGANet model in the TGANet: Text-guided attention for improved polyp segmentation paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the NeoUNet model in the NeoUNet: Towards accurate colon polyp segmentation and neoplasm detection paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the FocalUNet model in the Focal-UNet: UNet-like Focal Modulation for Medical Image Segmentation paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the BlazeNeo model in the BlazeNeo: Blazing fast polyp segmentation and neoplasm detection paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the ColonSegNet model in the Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning paper on the BKAI-IGH NeoPolyp-Small dataset? | Average Dice, mIoU |
What metrics were used to measure the DC-UNet model in the DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images Segmentation paper on the ISBI 2012 EM Segmentation dataset? | Jaccard, VInfo, VRand, Warping Error |
What metrics were used to measure the CE-Net model in the CE-Net: Context Encoder Network for 2D Medical Image Segmentation paper on the ISBI 2012 EM Segmentation dataset? | Jaccard, VInfo, VRand, Warping Error |
What metrics were used to measure the U-Net model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the ISBI 2012 EM Segmentation dataset? | Jaccard, VInfo, VRand, Warping Error |
What metrics were used to measure the UNet 3+ model in the UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation paper on the LiTS2017 dataset? | Dice |
What metrics were used to measure the UNet 3+ w/o DS model in the UNet 3+: A Full-Scale Connected UNet for Medical Image Segmentation paper on the LiTS2017 dataset? | Dice |
What metrics were used to measure the MedT model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the Brain US dataset? | F1, IoU |
What metrics were used to measure the LoGo model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the Brain US dataset? | F1, IoU |
What metrics were used to measure the U-Net model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the Brain US dataset? | F1, IoU |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the EM dataset? | DSC, IoU, Recall, Specificity, Precision |
What metrics were used to measure the UNet++ model in the UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image Segmentation paper on the EM dataset? | DSC, IoU, Recall, Specificity, Precision |
What metrics were used to measure the AnatomyNet model in the AnatomyNet: Deep Learning for Fast and Fully Automated Whole-volume Segmentation of Head and Neck Anatomy paper on the MICCAI 2015 Head and Neck Challenge dataset? | Dice |
What metrics were used to measure the C2FVL model in the Coarse-to-Fine Covid-19 Segmentation via Vision-Language Alignment paper on the MosMedData dataset? | Average Dice |
What metrics were used to measure the ResUNet++ + TTA model in the A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation paper on the CVC-VideoClinicDB dataset? | Dice, mIoU, Recall, precision |
What metrics were used to measure the ResUNet++ + TTA + CRF model in the A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation paper on the CVC-VideoClinicDB dataset? | Dice, mIoU, Recall, precision |
What metrics were used to measure the ResUNet++ model in the ResUNet++: An Advanced Architecture for Medical Image Segmentation paper on the CVC-VideoClinicDB dataset? | Dice, mIoU, Recall, precision |
What metrics were used to measure the ResUNet++ + CRF model in the A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation paper on the CVC-VideoClinicDB dataset? | Dice, mIoU, Recall, precision |
What metrics were used to measure the Meta-Polyp model in the Meta-Polyp: a baseline for efficient Polyp segmentation paper on the CVC-VideoClinicDB dataset? | Dice, mIoU, Recall, precision |
What metrics were used to measure the MaxViT-UNet model in the MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation paper on the MoNuSeg 2018 dataset? | Dice, IoU |
What metrics were used to measure the DUCK-Net model in the Using DUCK-Net for Polyp Image Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the ESFPNet-L model in the ESFPNet: efficient deep learning architecture for real-time lesion segmentation in autofluorescence bronchoscopic video paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the DuAT model in the DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the PVT-CASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the SSFormer-L model in the Stepwise Feature Fusion: Local Guides Global paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the Meta-Polyp model in the Meta-Polyp: a baseline for efficient Polyp segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the UACANet-L model in the UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the CaraNet model in the CaraNet: Context Axial Reverse Attention Network for Segmentation of Small Medical Objects paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the TransFuse-L model in the TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the TransFuse-S model in the TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the HarDNet-DFUS model in the HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the UACANet-S model in the UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the HarDNet-MSEG model in the HarDNet-MSEG: A Simple Encoder-Decoder Polyp Segmentation Neural Network that Achieves over 0.9 Mean Dice and 86 FPS paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the ResUNet++ model in the ResUNet++: An Advanced Architecture for Medical Image Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the PraNet model in the PraNet: Parallel Reverse Attention Network for Polyp Segmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the ResUNet++ + TTA model in the A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation paper on the ETIS-LARIBPOLYPDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the LViT-L model in the LViT: Language meets Vision Transformer in Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the MDM model in the Masked Diffusion as Self-supervised Representation Learner paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the LViT-LW model in the LViT: Language meets Vision Transformer in Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the UCTransNet model in the LViT: Language meets Vision Transformer in Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the LoGo model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the MedT model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the GTUNet model in the LViT: Language meets Vision Transformer in Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the UNet++ model in the LViT: Language meets Vision Transformer in Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the U-Net model in the Medical Transformer: Gated Axial-Attention for Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the HistoSeg model in the HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology images paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the DoubleUnet-DCA model in the Dual Cross-Attention for Medical Image Segmentation paper on the MoNuSeg dataset? | F1, IoU, Dice Score |
What metrics were used to measure the MS-Dual-Guided model in the Multi-scale self-guided attention for medical image segmentation paper on the CHAOS MRI Dataset dataset? | Dice Score, MSD, VS |
What metrics were used to measure the efficientnetb1 model in the Transfer Learning in Polyp and Endoscopic Tool Segmentation from Colonoscopy Images paper on the Hyper-Kvasir Dataset dataset? | Dice score, Intersection over Union |
What metrics were used to measure the DDANet model in the DDANet: Dual Decoder Attention Network for Automatic Polyp Segmentation paper on the Endotect Polyp Segmentation Challenge Dataset dataset? | DSC, mIoU, FPS |
What metrics were used to measure the PEFNet model in the Multi Kernel Positional Embedding ConvNeXt for Polyp Segmentation paper on the Endotect Polyp Segmentation Challenge Dataset dataset? | DSC, mIoU, FPS |
What metrics were used to measure the FCT model in the The Fully Convolutional Transformer for Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the MERIT model in the Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the MERIT-GCASCADE model in the G-CASCADE: Efficient Cascaded Graph Convolutional Decoding for 2D Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.