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 551600 of 2089 papers

TitleStatusHype
DHC: Dual-debiased Heterogeneous Co-training Framework for Class-imbalanced Semi-supervised Medical Image SegmentationCode1
BHSD: A 3D Multi-Class Brain Hemorrhage Segmentation DatasetCode1
Bi-Directional ConvLSTM U-Net with Densley Connected ConvolutionsCode1
Latent Diffusion for Medical Image Segmentation: End to end learning for fast sampling and accuracyCode1
Benchmarking saliency methods for chest X-ray interpretationCode1
MI-SegNet: Mutual Information-Based US Segmentation for Unseen Domain GeneralizationCode1
Anatomy of Domain Shift Impact on U-Net Layers in MRI SegmentationCode1
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable ConvolutionCode1
Med-NCA: Robust and Lightweight Segmentation with Neural Cellular AutomataCode1
E2ENet: Dynamic Sparse Feature Fusion for Accurate and Efficient 3D Medical Image SegmentationCode1
Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image SegmentationCode1
DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion modelsCode1
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware LearningCode1
Enhancing surgical instrument segmentation: integrating vision transformer insights with adapterCode1
BiPVL-Seg: Bidirectional Progressive Vision-Language Fusion with Global-Local Alignment for Medical Image SegmentationCode1
Mixed Transformer U-Net For Medical Image SegmentationCode1
E1D3 U-Net for Brain Tumor Segmentation: Submission to the RSNA-ASNR-MICCAI BraTS 2021 ChallengeCode1
MediViSTA: Medical Video Segmentation via Temporal Fusion SAM Adaptation for EchocardiographyCode1
Duo-SegNet: Adversarial Dual-Views for Semi-Supervised Medical Image SegmentationCode1
DINOv2 based Self Supervised Learning For Few Shot Medical Image SegmentationCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
Directional Connectivity-based Segmentation of Medical ImagesCode1
Discrepancy Matters: Learning from Inconsistent Decoder Features for Consistent Semi-supervised Medical Image SegmentationCode1
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image SegmentationCode1
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp SegmentationCode1
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image SegmentationCode1
Disentangling Human Error from Ground Truth in Segmentation of Medical ImagesCode1
Disentangling Human Error from the Ground Truth in Segmentation of Medical ImagesCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image SegmentationCode1
DuAT: Dual-Aggregation Transformer Network for Medical Image SegmentationCode1
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image SegmentationCode1
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D NetworksCode1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationCode1
DivergentNets: Medical Image Segmentation by Network EnsembleCode1
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image SegmentationCode1
False Negative/Positive Control for SAM on Noisy Medical ImagesCode1
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image SegmentationCode1
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image SegmentationCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified DecoderCode1
MetaFormer and CNN Hybrid Model for Polyp Image SegmentationCode1
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image SegmentationCode1
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasetsCode1
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
Domain Adaptation of Echocardiography Segmentation Via Reinforcement LearningCode1
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
Deep learning in magnetic resonance prostate segmentation: A review and a new perspectiveCode1
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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