SOTAVerified

Medical Image Segmentation

Medical Image Segmentation is a computer vision task that involves dividing an medical image into multiple segments, where each segment represents a different object or structure of interest in the image. The goal of medical image segmentation is to provide a precise and accurate representation of the objects of interest within the image, typically for the purpose of diagnosis, treatment planning, and quantitative analysis.

( Image credit: IVD-Net )

Papers

Showing 651700 of 2089 papers

TitleStatusHype
RevPHiSeg: A Memory-Efficient Neural Network for Uncertainty Quantification in Medical Image SegmentationCode1
Disentangling Human Error from the Ground Truth in Segmentation of Medical ImagesCode1
MACU-Net for Semantic Segmentation of Fine-Resolution Remotely Sensed ImagesCode1
Learning Directional Feature Maps for Cardiac MRI SegmentationCode1
Shape-aware Semi-supervised 3D Semantic Segmentation for Medical ImagesCode1
Self-Supervision with Superpixels: Training Few-shot Medical Image Segmentation without AnnotationCode1
Universal Loss Reweighting to Balance Lesion Size Inequality in 3D Medical Image SegmentationCode1
On uncertainty estimation in active learning for image segmentationCode1
Semi-supervised Task-driven Data Augmentation for Medical Image SegmentationCode1
Scribble-based Domain Adaptation via Co-segmentationCode1
An Elastic Interaction-Based Loss Function for Medical Image SegmentationCode1
Learning to Segment from Scribbles using Multi-scale Adversarial Attention GatesCode1
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image SegmentationCode1
Realistic Adversarial Data Augmentation for MR Image SegmentationCode1
Contrastive learning of global and local features for medical image segmentation with limited annotationsCode1
Cardiac Segmentation with Strong Anatomical GuaranteesCode1
PraNet: Parallel Reverse Attention Network for Polyp SegmentationCode1
KiU-Net: Towards Accurate Segmentation of Biomedical Images using Over-complete RepresentationsCode1
DoubleU-Net: A Deep Convolutional Neural Network for Medical Image SegmentationCode1
Uncertainty quantification in medical image segmentation with normalizing flowsCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
Importance Driven Continual Learning for Segmentation Across DomainsCode1
DRU-net: An Efficient Deep Convolutional Neural Network for Medical Image SegmentationCode1
Towards Data-Efficient Learning: A Benchmark for COVID-19 CT Lung and Infection SegmentationCode1
UNet 3+: A Full-Scale Connected UNet for Medical Image SegmentationCode1
Test-Time Adaptable Neural Networks for Robust Medical Image SegmentationCode1
CAKES: Channel-wise Automatic KErnel Shrinking for Efficient 3D NetworksCode1
Multi-level Context Gating of Embedded Collective Knowledge for Medical Image SegmentationCode1
Automatic segmentation of spinal multiple sclerosis lesions: How to generalize across MRI contrasts?Code1
Robust Multimodal Brain Tumor Segmentation via Feature Disentanglement and Gated FusionCode1
Panoptic Feature Fusion Net: A Novel Instance Segmentation Paradigm for Biomedical and Biological ImagesCode1
Unsupervised Bidirectional Cross-Modality Adaptation via Deeply Synergistic Image and Feature Alignment for Medical Image SegmentationCode1
Medical Image Segmentation via Unsupervised Convolutional Neural NetworkCode1
RatLesNetv2: A Fully Convolutional Network for Rodent Brain Lesion SegmentationCode1
SAUNet: Shape Attentive U-Net for Interpretable Medical Image SegmentationCode1
A context based deep learning approach for unbalanced medical image segmentationCode1
UNet++: Redesigning Skip Connections to Exploit Multiscale Features in Image SegmentationCode1
ResUNet++: An Advanced Architecture for Medical Image SegmentationCode1
One Network to Segment Them All: A General, Lightweight System for Accurate 3D Medical Image SegmentationCode1
3D U^2-Net: A 3D Universal U-Net for Multi-Domain Medical Image SegmentationCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Models Genesis: Generic Autodidactic Models for 3D Medical Image AnalysisCode1
Uncertainty-aware Self-ensembling Model for Semi-supervised 3D Left Atrium SegmentationCode1
A Partially Reversible U-Net for Memory-Efficient Volumetric Image SegmentationCode1
PHiSeg: Capturing Uncertainty in Medical Image SegmentationCode1
A Hierarchical Probabilistic U-Net for Modeling Multi-Scale AmbiguitiesCode1
Synergistic Image and Feature Adaptation: Towards Cross-Modality Domain Adaptation for Medical Image SegmentationCode1
Boundary loss for highly unbalanced segmentationCode1
nnU-Net: Self-adapting Framework for U-Net-Based Medical Image SegmentationCode1
UNet++: A Nested U-Net Architecture for Medical Image SegmentationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.95Unverified
2EffiSegNet-B5mean Dice0.95Unverified
3EffiSegNet-B4mean Dice0.95Unverified
4SegMedmean Dice0.95Unverified
5FCB Formermean Dice0.94Unverified
6FCB-SwinV2 Transformermean Dice0.94Unverified
7SEPmean Dice0.94Unverified
8LM-Netmean Dice0.94Unverified
9RAPUNetmean Dice0.94Unverified
10FCBFormermean Dice0.94Unverified
#ModelMetricClaimedVerifiedStatus
1DUCK-Netmean Dice0.97Unverified
2RAPUNetmean Dice0.96Unverified
3EMCADmean Dice0.95Unverified
4Yolo-SAM 2mean Dice0.95Unverified
5RaBiTmean Dice0.95Unverified
6UGCANetmean Dice0.95Unverified
7ESFPNet-Lmean Dice0.95Unverified
8FCBFormermean Dice0.95Unverified
9DuATmean Dice0.95Unverified
10SegMedmean Dice0.95Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.95Unverified
2DUCK-Netmean Dice0.94Unverified
3EMCADmean Dice0.92Unverified
4SegMedmean Dice0.92Unverified
5UniNetmean Dice0.92Unverified
6ProMISemean Dice0.87Unverified
7Meta-Polypmean Dice0.87Unverified
8ResUNet++ + TTAmean Dice0.85Unverified
9PVT-GCASCADEmean Dice0.83Unverified
10PVT-CASCADEmean Dice0.83Unverified
#ModelMetricClaimedVerifiedStatus
1RAPUNetmean Dice0.96Unverified
2SegMedmean Dice0.94Unverified
3DUCK-Netmean Dice0.94Unverified
4EMCADmean Dice0.92Unverified
5ProMISemean Dice0.84Unverified
6RSAFormermean Dice0.84Unverified
7ESFPNet-Lmean Dice0.82Unverified
8DuATmean Dice0.82Unverified
9PVT-CASCADEmean Dice0.8Unverified
10SSFormer-Lmean Dice0.8Unverified
#ModelMetricClaimedVerifiedStatus
1Interactive AI-SAM gt boxAvg DSC90.66Unverified
2Medical SAM AdapterAvg DSC89.8Unverified
3MedSegDiff-v2Avg DSC89.5Unverified
4nnUNetAvg DSC88.8Unverified
5MedNeXt-L (5x5x5)Avg DSC88.76Unverified
6MISTAvg DSC86.92Unverified
7nnFormerAvg DSC86.57Unverified
8AgileFormerAvg DSC86.11Unverified
9MERITAvg DSC84.9Unverified
10Automatic AI-SAMAvg DSC84.21Unverified
#ModelMetricClaimedVerifiedStatus
1FCTAvg DSC94.26Unverified
2Interactive AI-SAM gt boxAvg DSC93.89Unverified
3FCTAvg DSC93.02Unverified
4LHU-NetAvg DSC92.65Unverified
5MISTAvg DSC92.56Unverified
6MERITAvg DSC92.32Unverified
7MERIT-GCASCADEAvg DSC92.23Unverified
8EMCADAvg DSC92.12Unverified
9nnFormerAvg DSC92.06Unverified
10Automatic AI-SAMAvg DSC92.06Unverified
#ModelMetricClaimedVerifiedStatus
1StardistF184.6Unverified