prompts stringlengths 81 413 | metrics_response stringlengths 0 371 |
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What metrics were used to measure the nnFormer model in the nnFormer: Interleaved Transformer for Volumetric Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg 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 Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the TransCASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the PVT-CASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the SwinUnet model in the Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the TransUNet model in the TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the MISSFormer model in the MISSFormer: An Effective Medical Image Segmentation Transformer paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the R50-ViT-CUP model in the TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the R50-AttnUNet model in the TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation paper on the Automatic Cardiac Diagnosis Challenge (ACDC) dataset? | Avg DSC |
What metrics were used to measure the FCT model in the The Fully Convolutional Transformer for Medical Image Segmentation paper on the ACDC dataset? | Dice Score |
What metrics were used to measure the Swin UNet model in the Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation paper on the ACDC dataset? | Dice Score |
What metrics were used to measure the TransUNet model in the TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation paper on the ACDC dataset? | Dice Score |
What metrics were used to measure the DUCK-Net model in the Using DUCK-Net for Polyp Image Segmentation paper on the CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB dataset? | mean Dice, Average MAE, S-Measure, max E-Measure, mIoU |
What metrics were used to measure the Polyp-PVT model in the Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers paper on the CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 CVC-ColonDB 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 ASU-Mayo Clinic dataset dataset? | DSC, Precision, Recall, mIoU |
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 Cell dataset? | IoU |
What metrics were used to measure the NanoNet-A model in the NanoNet: Real-Time Polyp Segmentation in Video Capsule Endoscopy and Colonoscopy paper on the Medico automatic polyp segmentation challenge (dataset) dataset? | DSC, mIoU, Recall, Precision, FPS |
What metrics were used to measure the UNet-ResNet50 model in the Automatic Polyp Segmentation using U-Net-ResNet50 paper on the Medico automatic polyp segmentation challenge (dataset) dataset? | DSC, mIoU, Recall, Precision, FPS |
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 ISIC 2018 dataset? | DSC, mIoU |
What metrics were used to measure the UNeXt model in the UNeXt: MLP-based Rapid Medical Image Segmentation Network paper on the ISIC 2018 dataset? | DSC, mIoU |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the ISIC 2018 dataset? | DSC, mIoU |
What metrics were used to measure the ColonsegNet model in the Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy paper on the ROBUST-MIS dataset? | DSC, mIoU, FPS |
What metrics were used to measure the DDANet model in the Exploring Deep Learning Methods for Real-Time Surgical Instrument Segmentation in Laparoscopy paper on the ROBUST-MIS dataset? | DSC, mIoU, FPS |
What metrics were used to measure the DuAT model in the DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation paper on the 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
What metrics were used to measure the SSFormer-L model in the Stepwise Feature Fusion: Local Guides Global paper on the 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
What metrics were used to measure the MSRF-Net model in the MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation paper on the 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
What metrics were used to measure the DoubleUNet model in the DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation paper on the 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
What metrics were used to measure the Unet++ model in the UNet++: A Nested U-Net Architecture for Medical Image Segmentation paper on the 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
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 2018 Data Science Bowl dataset? | Dice, mIoU, Recall, Precision |
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 HSVM dataset? | Dice Score, MSD, VS |
What metrics were used to measure the FCB-SwinV2 Transformer model in the FCB-SwinV2 Transformer for Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the UGCANet model in the UGCANet: A Unified Global Context-Aware Transformer-based Network with Feature Alignment for Endoscopic Image Analysis paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the DuAT model in the DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the DUCK-Net model in the Using DUCK-Net for Polyp Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the ColonFormer model in the ColonFormer: An Efficient Transformer based Method for Colon Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the FCBFormer model in the FCN-Transformer Feature Fusion for Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the SSFormer-L model in the Stepwise Feature Fusion: Local Guides Global paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the PVT-CASCADE model in the Medical Image Segmentation via Cascaded Attention Decoding paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the MSRF-Net model in the MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the Polar U-Net model in the Training on Polar Image Transformations Improves Biomedical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the TransFuse-L model in the TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the UACANet-L model in the UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the DoubleUNet model in the DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the ResUNet++ + CRF model in the Real-Time Polyp Detection, Localization and Segmentation in Colonoscopy Using Deep Learning paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the TransFuse-S model in the TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the AG-CUResNeSt model in the AG-CUResNeSt: A Novel Method for Colon Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the UACANet-S model in the UACANet: Uncertainty Augmented Context Attention for Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the Polyp-SAM++ model in the Polyp-SAM++: Can A Text Guided SAM Perform Better for Polyp Segmentation? paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the DoubleUnet-DCA model in the Dual Cross-Attention for Medical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
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-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the ResUNet++ + CRF+ TTA model in the A Comprehensive Study on Colorectal Polyp Segmentation with ResUNet++, Conditional Random Field and Test-Time Augmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the PraNet model in the PraNet: Parallel Reverse Attention Network for Polyp Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, 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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the ResUNet++ model in the ResUNet++: An Advanced Architecture for Medical Image Segmentation paper on the CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, 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 CVC-ClinicDB dataset? | mean Dice, Average MAE, S-Measure, mIoU, max E-Measure, F-measure |
What metrics were used to measure the Unet with APP model in the A Data-Efficient Deep Learning Framework for Segmentation and Classification of Histopathology Images paper on the Autoimmune Dataset dataset? | IoU |
What metrics were used to measure the KiU-Net model in the KiU-Net: Overcomplete Convolutional Architectures for Biomedical Image and Volumetric Segmentation paper on the RITE dataset? | Dice, Jaccard Index |
What metrics were used to measure the U-Net model in the U-Net: Convolutional Networks for Biomedical Image Segmentation paper on the RITE dataset? | Dice, Jaccard Index |
What metrics were used to measure the SegNet model in the SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation paper on the RITE dataset? | Dice, Jaccard Index |
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 DRIVE dataset? | mIoU, F1 score, Recall, Specificity, Precision |
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 DRIVE dataset? | mIoU, F1 score, Recall, Specificity, Precision |
What metrics were used to measure the FANet model in the FANet: A Feedback Attention Network for Improved Biomedical Image Segmentation paper on the DRIVE dataset? | mIoU, F1 score, Recall, Specificity, Precision |
What metrics were used to measure the BCDU-net model in the Bi-Directional ConvLSTM U-Net with Densley Connected Convolutions paper on the DRIVE dataset? | mIoU, F1 score, Recall, Specificity, Precision |
What metrics were used to measure the nnFormer model in the nnFormer: Interleaved Transformer for Volumetric Segmentation paper on the Synapse dataset? | Dice score |
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 MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge 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 MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge 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 MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge 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 MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge dataset? | Avg DSC, Avg HD |
What metrics were used to measure the 3D Att-UNet-MTL-TSOL model in the Improved Abdominal Multi-Organ Segmentation via 3D Boundary-Constrained Deep Neural Networks paper on the MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge 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 MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge dataset? | Avg DSC, Avg HD |
What metrics were used to measure the MaxViT-UNet model in the MaxViT-UNet: Multi-Axis Attention for Medical Image Segmentation paper on the MoNuSAC dataset? | Dice, IoU |
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 SegPC-2021 dataset? | mIoU |
What metrics were used to measure the U2netme model in the DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image Segmentation paper on the ISIC2018 dataset? | Accuracy, Precision, Test F1-Score, mean Dice |
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 AMOS dataset? | Average Dice |
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 Kvasir-Instrument dataset? | DSC, Dice Score, Intersection over Union |
What metrics were used to measure the UNet model in the Kvasir-Instrument: Diagnostic and therapeutic tool segmentation dataset in gastrointestinal endoscopy paper on the Kvasir-Instrument dataset? | DSC, Dice Score, Intersection over Union |
What metrics were used to measure the DoubleUNet model in the DoubleU-Net: A Deep Convolutional Neural Network for Medical Image Segmentation paper on the Kvasir-Instrument dataset? | DSC, Dice Score, Intersection over Union |
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