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 451500 of 2089 papers

TitleStatusHype
UNesT: Local Spatial Representation Learning with Hierarchical Transformer for Efficient Medical SegmentationCode1
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image SegmentationCode1
Attentive Symmetric Autoencoder for Brain MRI SegmentationCode1
HarDNet-DFUS: An Enhanced Harmonically-Connected Network for Diabetic Foot Ulcer Image Segmentation and Colonoscopy Polyp SegmentationCode1
DOMINO: Domain-aware Model Calibration in Medical Image SegmentationCode1
Self-Supervised Pretraining for 2D Medical Image SegmentationCode1
HistoSeg : Quick attention with multi-loss function for multi-structure segmentation in digital histology imagesCode1
Label Propagation for 3D Carotid Vessel Wall Segmentation and Atherosclerosis DiagnosisCode1
Boundary-Aware Network for Kidney ParsingCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Q-Net: Query-Informed Few-Shot Medical Image SegmentationCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
When CNN Meet with ViT: Towards Semi-Supervised Learning for Multi-Class Medical Image Semantic SegmentationCode1
Triple-View Feature Learning for Medical Image SegmentationCode1
PA-Seg: Learning from Point Annotations for 3D Medical Image Segmentation using Contextual Regularization and Cross Knowledge DistillationCode1
Generalizable Medical Image Segmentation via Random Amplitude Mixup and Domain-Specific Image RestorationCode1
Bayesian Pseudo Labels: Expectation Maximization for Robust and Efficient Semi-Supervised SegmentationCode1
TransDeepLab: Convolution-Free Transformer-based DeepLab v3+ for Medical Image SegmentationCode1
ScaleFormer: Revisiting the Transformer-based Backbones from a Scale-wise Perspective for Medical Image SegmentationCode1
SuperVessel: Segmenting High-resolution Vessel from Low-resolution Retinal ImageCode1
AADG: Automatic Augmentation for Domain Generalization on Retinal Image SegmentationCode1
TransNorm: Transformer Provides a Strong Spatial Normalization Mechanism for a Deep Segmentation ModelCode1
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
OCTAve: 2D en face Optical Coherence Tomography Angiography Vessel Segmentation in Weakly-Supervised Learning with Locality AugmentationCode1
What is Healthy? Generative Counterfactual Diffusion for Lesion LocalizationCode1
High-Resolution Swin Transformer for Automatic Medical Image SegmentationCode1
Learning Topological Interactions for Multi-Class Medical Image SegmentationCode1
The Dice loss in the context of missing or empty labels: Introducing Φ and εCode1
HiFormer: Hierarchical Multi-scale Representations Using Transformers for Medical Image SegmentationCode1
Adaptive t-vMF Dice Loss for Multi-class Medical Image SegmentationCode1
Implicit Neural Representations for Generative Modeling of Living Cell ShapesCode1
Personalizing Federated Medical Image Segmentation via Local CalibrationCode1
TFCNs: A CNN-Transformer Hybrid Network for Medical Image SegmentationCode1
Unsupervised Domain Adaptation through Shape Modeling for Medical Image SegmentationCode1
Less Is More: A Comparison of Active Learning Strategies for 3D Medical Image SegmentationCode1
The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive PruningCode1
vMFNet: Compositionality Meets Domain-generalised SegmentationCode1
BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image SegmentationCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
Using the Polar Transform for Efficient Deep Learning-Based Aorta Segmentation in CTA ImagesCode1
Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image SegmentationCode1
TransResU-Net: Transformer based ResU-Net for Real-Time Colonoscopy Polyp SegmentationCode1
Joint Class-Affinity Loss Correction for Robust Medical Image Segmentation with Noisy LabelsCode1
AMOS: A Large-Scale Abdominal Multi-Organ Benchmark for Versatile Medical Image SegmentationCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
Patcher: Patch Transformers with Mixture of Experts for Precise Medical Image SegmentationCode1
MISSU: 3D Medical Image Segmentation via Self-distilling TransUNetCode1
MaxStyle: Adversarial Style Composition for Robust Medical Image SegmentationCode1
The Fully Convolutional Transformer 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