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 401450 of 2089 papers

TitleStatusHype
Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image SegmentationCode1
Inconsistency Masks: Removing the Uncertainty from Input-Pseudo-Label PairsCode1
Boundary-Aware Network for Kidney ParsingCode1
MEGANet: Multi-Scale Edge-Guided Attention Network for Weak Boundary Polyp SegmentationCode1
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image SegmentationCode1
MetaFormer and CNN Hybrid Model for Polyp Image SegmentationCode1
ACC-UNet: A Completely Convolutional UNet model for the 2020sCode1
Boundary-Aware Network for Abdominal Multi-Organ SegmentationCode1
Contextual Attention Network: Transformer Meets U-NetCode1
Evidence fusion with contextual discounting for multi-modality medical image segmentationCode1
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image SegmentationCode1
Continual atlas-based segmentation of prostate MRICode1
Inherent Consistent Learning for Accurate Semi-supervised Medical Image SegmentationCode1
MISeval: a Metric Library for Medical Image Segmentation EvaluationCode1
Inter-slice Context Residual Learning for 3D Medical Image SegmentationCode1
DB-SAM: Delving into High Quality Universal Medical Image SegmentationCode1
A Teacher-Student Framework for Semi-supervised Medical Image Segmentation From Mixed SupervisionCode1
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and ClassificationCode1
DCSAU-Net: A Deeper and More Compact Split-Attention U-Net for Medical Image SegmentationCode1
Contrastive learning of global and local features for medical image segmentation with limited annotationsCode1
FPL+: Filtered Pseudo Label-based Unsupervised Cross-Modality Adaptation for 3D Medical Image SegmentationCode1
Contrastive Registration for Unsupervised Medical Image SegmentationCode1
Fast Camouflaged Object Detection via Edge-based Reversible Re-calibration NetworkCode1
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical StructuresCode1
FastGeodis: Fast Generalised Geodesic Distance TransformCode1
fastMONAI: A low-code deep learning library for medical image analysisCode1
DC-UNet: Rethinking the U-Net Architecture with Dual Channel Efficient CNN for Medical Images SegmentationCode1
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive DistillationCode1
FCN-Transformer Feature Fusion for Polyp SegmentationCode1
MixSearch: Searching for Domain Generalized Medical Image Segmentation ArchitecturesCode1
CAMS: Convolution and Attention-Free Mamba-based Cardiac Image SegmentationCode1
A high-order focus interaction model and oral ulcer dataset for oral ulcer segmentationCode1
Federated nnU-Net for Privacy-Preserving Medical Image SegmentationCode1
Adaptive Early-Learning Correction for Segmentation from Noisy AnnotationsCode1
Cooperative Training and Latent Space Data Augmentation for Robust Medical Image SegmentationCode1
Correlation-Aware Mutual Learning for Semi-supervised Medical Image SegmentationCode1
Attention Swin U-Net: Cross-Contextual Attention Mechanism for Skin Lesion SegmentationCode1
FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image SegmentationCode1
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image SegmentationCode1
Few-Shot Medical Image Segmentation via a Region-enhanced Prototypical TransformerCode1
Improving Aleatoric Uncertainty Quantification in Multi-Annotated Medical Image Segmentation with Normalizing FlowsCode1
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image SegmentationCode1
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information RegularizationCode1
Few Shot Medical Image Segmentation with Cross Attention TransformerCode1
Few-Shot Medical Image Segmentation with High-Fidelity PrototypesCode1
CriDiff: Criss-cross Injection Diffusion Framework via Generative Pre-train for Prostate SegmentationCode1
Boosting multiple sclerosis lesion segmentation through attention mechanismCode1
Frequency Domain Adversarial Training for Robust Volumetric Medical SegmentationCode1
Frequency-mixed Single-source Domain Generalization for Medical Image SegmentationCode1
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in 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