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

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Showing 751–775 of 2089 papers

Title	Date	Tasks	Status
Cross-supervised Dual Classifiers for Semi-supervised Medical Image Segmentation	May 25, 2023	Image SegmentationMedical Image Analysis	—Unverified
Incorporating prior knowledge in medical image segmentation: a survey	Jul 5, 2016	Image SegmentationMedical Image Analysis	—Unverified
Few-shot Medical Image Segmentation via Cross-Reference Transformer	Apr 19, 2023	Few-Shot LearningImage Segmentation	—Unverified
Incremental Learning Meets Transfer Learning: Application to Multi-site Prostate MRI Segmentation	Jun 3, 2022	Image SegmentationIncremental Learning	—Unverified
Cross-model Mutual Learning for Exemplar-based Medical Image Segmentation	Apr 18, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation	Nov 8, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Airway Tree Modeling Using Dual-channel 3D UNet 3+ with Vesselness Prior	Aug 30, 2022	Computed Tomography (CT)Image Segmentation	—Unverified
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans	Aug 26, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention	Jun 18, 2025	Image AugmentationImage Segmentation	—Unverified
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks	Jun 4, 2025	EthicsExplainable artificial intelligence	—Unverified
Indirect Supervision to Mitigate Perturbations	Jan 1, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Integrating Mamba Sequence Model and Hierarchical Upsampling Network for Accurate Semantic Segmentation of Multiple Sclerosis Legion	Mar 26, 2024	Decision MakingImage Segmentation	—Unverified
AI in the Loop -- Functionalizing Fold Performance Disagreement to Monitor Automated Medical Image Segmentation Pipelines	May 15, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	Mar 12, 2022	Federated LearningHyperparameter Optimization	—Unverified
Improving Uncertainty-based Out-of-Distribution Detection for Medical Image Segmentation	Nov 10, 2022	Image SegmentationMedical Image Analysis	—Unverified
Cross-Frequency Collaborative Training Network and Dataset for Semi-supervised First Molar Root Canal Segmentation	Apr 16, 2025	DiagnosticImage Segmentation	—Unverified
Auto-FedAvg: Learnable Federated Averaging for Multi-Institutional Medical Image Segmentation	Apr 20, 2021	Federated LearningImage Segmentation	—Unverified
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation	Feb 7, 2023	Data AugmentationImage Segmentation	—Unverified
Cross-denoising Network against Corrupted Labels in Medical Image Segmentation with Domain Shift	Jun 19, 2020	DenoisingImage Segmentation	—Unverified
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation	Feb 9, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Improving Lesion Segmentation in Medical Images by Global and Regional Feature Compensation	Feb 12, 2025	Image SegmentationLesion Segmentation	—Unverified
Cross-adversarial local distribution regularization for semi-supervised medical image segmentation	Oct 2, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Critical Assessment of Transfer Learning for Medical Image Segmentation with Fully Convolutional Neural Networks	May 30, 2020	Image SegmentationMedical Image Segmentation	—Unverified
A Unified Framework for Generalized Low-Shot Medical Image Segmentation with Scarce Data	Oct 18, 2021	Image SegmentationMedical Image Segmentation	—Unverified
CRISP - Reliable Uncertainty Estimation for Medical Image Segmentation	Jun 15, 2022	Image SegmentationMedical Image Segmentation	—Unverified

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All datasets Kvasir-SEG CVC-ClinicDB CVC-ColonDB ETIS-LARIBPOLYPDB Synapse multi-organ CT Automatic Cardiac Diagnosis Challenge (ACDC)MoNuSeg 2018 Data Science Bowl GlaS BKAI-IGH NeoPolyp-Small MICCAI 2015 Multi-Atlas Abdomen Labeling Challenge ACDC

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.95	—	Unverified
2	EffiSegNet-B5	mean Dice	0.95	—	Unverified
3	EffiSegNet-B4	mean Dice	0.95	—	Unverified
4	SegMed	mean Dice	0.95	—	Unverified
5	FCB Former	mean Dice	0.94	—	Unverified
6	FCB-SwinV2 Transformer	mean Dice	0.94	—	Unverified
7	SEP	mean Dice	0.94	—	Unverified
8	LM-Net	mean Dice	0.94	—	Unverified
9	RAPUNet	mean Dice	0.94	—	Unverified
10	FCBFormer	mean Dice	0.94	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DUCK-Net	mean Dice	0.97	—	Unverified
2	RAPUNet	mean Dice	0.96	—	Unverified
3	EMCAD	mean Dice	0.95	—	Unverified
4	Yolo-SAM 2	mean Dice	0.95	—	Unverified
5	RaBiT	mean Dice	0.95	—	Unverified
6	UGCANet	mean Dice	0.95	—	Unverified
7	ESFPNet-L	mean Dice	0.95	—	Unverified
8	FCBFormer	mean Dice	0.95	—	Unverified
9	DuAT	mean Dice	0.95	—	Unverified
10	SegMed	mean Dice	0.95	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.95	—	Unverified
2	DUCK-Net	mean Dice	0.94	—	Unverified
3	EMCAD	mean Dice	0.92	—	Unverified
4	SegMed	mean Dice	0.92	—	Unverified
5	UniNet	mean Dice	0.92	—	Unverified
6	ProMISe	mean Dice	0.87	—	Unverified
7	Meta-Polyp	mean Dice	0.87	—	Unverified
8	ResUNet++ + TTA	mean Dice	0.85	—	Unverified
9	PVT-GCASCADE	mean Dice	0.83	—	Unverified
10	PVT-CASCADE	mean Dice	0.83	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	RAPUNet	mean Dice	0.96	—	Unverified
2	SegMed	mean Dice	0.94	—	Unverified
3	DUCK-Net	mean Dice	0.94	—	Unverified
4	EMCAD	mean Dice	0.92	—	Unverified
5	ProMISe	mean Dice	0.84	—	Unverified
6	RSAFormer	mean Dice	0.84	—	Unverified
7	ESFPNet-L	mean Dice	0.82	—	Unverified
8	DuAT	mean Dice	0.82	—	Unverified
9	PVT-CASCADE	mean Dice	0.8	—	Unverified
10	SSFormer-L	mean Dice	0.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Interactive AI-SAM gt box	Avg DSC	90.66	—	Unverified
2	Medical SAM Adapter	Avg DSC	89.8	—	Unverified
3	MedSegDiff-v2	Avg DSC	89.5	—	Unverified
4	nnUNet	Avg DSC	88.8	—	Unverified
5	MedNeXt-L (5x5x5)	Avg DSC	88.76	—	Unverified
6	MIST	Avg DSC	86.92	—	Unverified
7	nnFormer	Avg DSC	86.57	—	Unverified
8	AgileFormer	Avg DSC	86.11	—	Unverified
9	MERIT	Avg DSC	84.9	—	Unverified
10	Automatic AI-SAM	Avg DSC	84.21	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	FCT	Avg DSC	94.26	—	Unverified
2	Interactive AI-SAM gt box	Avg DSC	93.89	—	Unverified
3	FCT	Avg DSC	93.02	—	Unverified
4	LHU-Net	Avg DSC	92.65	—	Unverified
5	MIST	Avg DSC	92.56	—	Unverified
6	MERIT	Avg DSC	92.32	—	Unverified
7	MERIT-GCASCADE	Avg DSC	92.23	—	Unverified
8	EMCAD	Avg DSC	92.12	—	Unverified
9	nnFormer	Avg DSC	92.06	—	Unverified
10	Automatic AI-SAM	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified