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 14511500 of 2089 papers

TitleStatusHype
Towards a Guideline for Evaluation Metrics in Medical Image SegmentationCode1
Cross-level Contrastive Learning and Consistency Constraint for Semi-supervised Medical Image SegmentationCode1
Supervision by Denoising for Medical Image Segmentation0
Boundary-aware Information Maximization for Self-supervised Medical Image Segmentation0
Heed the Noise in Performance Evaluations in Neural Architecture Search0
Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label FusionCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
An Embarrassingly Simple Consistency Regularization Method for Semi-Supervised Medical Image SegmentationCode1
TransBTSV2: Towards Better and More Efficient Volumetric Segmentation of Medical ImagesCode2
Class-Aware Adversarial Transformers for Medical Image Segmentation0
Joint Liver and Hepatic Lesion Segmentation in MRI using a Hybrid CNN with Transformer Layers0
Transformers in Medical Imaging: A SurveyCode3
MISeval: a Metric Library for Medical Image Segmentation EvaluationCode1
Contrastive and Selective Hidden Embeddings for Medical Image SegmentationCode0
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image SegmentationCode1
SegTransVAE: Hybrid CNN -- Transformer with Regularization for medical image segmentationCode1
Improving Across-Dataset Brain Tissue Segmentation Using TransformerCode1
Superpixel Pre-Segmentation of HER2 Slides for Efficient Annotation0
Few-shot image segmentation for cross-institution male pelvic organs using registration-assisted prototypical learning0
Contrastive Pretraining for Echocardiography Segmentation with Limited DataCode1
SS-3DCapsNet: Self-supervised 3D Capsule Networks for Medical Segmentation on Less Labeled Data0
Automated Segmentation and Connectivity Analysis for Normal Pressure HydrocephalusCode0
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images0
CrossMoDA 2021 challenge: Benchmark of Cross-Modality Domain Adaptation techniques for Vestibular Schwannoma and Cochlea SegmentationCode1
Effect of Prior-based Losses on Segmentation Performance: A BenchmarkCode1
Tackling the Class Imbalance Problem of Deep Learning Based Head and Neck Organ SegmentationCode0
Swin UNETR: Swin Transformers for Semantic Segmentation of Brain Tumors in MRI ImagesCode2
BDG-Net: Boundary Distribution Guided Network for Accurate Polyp SegmentationCode1
D-Former: A U-shaped Dilated Transformer for 3D Medical Image SegmentationCode1
SECP-Net: SE-Connection Pyramid Network of Organ At Risk Segmentation for Nasopharyngeal Carcinoma0
On the relationship between calibrated predictors and unbiased volume estimationCode0
Maximum Entropy on Erroneous Predictions (MEEP): Improving model calibration for medical image segmentation0
Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual NormalizationCode1
Leveraging Image Complexity in Macro-Level Neural Network Design for Medical Image Segmentation0
iSegFormer: Interactive Segmentation via Transformers with Application to 3D Knee MR ImagesCode1
HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet0
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Scores and Benchmarking ResultsCode0
Local contrastive loss with pseudo-label based self-training for semi-supervised medical image segmentation0
Ensemble CNN Networks for GBM Tumors Segmentation using Multi-parametric MRICode1
Hypernet-Ensemble Learning of Segmentation Probability for Medical Image Segmentation with Ambiguous LabelsCode0
Semi-Supervised Medical Image Segmentation via Cross Teaching between CNN and Transformer0
Uncertainty-Guided Mutual Consistency Learning for Semi-Supervised Medical Image Segmentation0
Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image AnalysisCode1
Exploiting full Resolution Feature Context for Liver Tumor and Vessel Segmentation via Integrate Framework: Application to Liver Tumor and Vessel 3D Reconstruction under embedded microprocessorCode0
Modeling Annotator Preference and Stochastic Annotation Error for Medical Image SegmentationCode1
A Robust Volumetric Transformer for Accurate 3D Tumor SegmentationCode1
Causality-inspired Single-source Domain Generalization for Medical Image SegmentationCode1
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation0
Exploring Feature Representation Learning for Semi-supervised Medical Image SegmentationCode0
One-shot Weakly-Supervised Segmentation in Medical ImagesCode1
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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