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 1301–1325 of 2089 papers

Title	Date	Tasks	Status
MS-UNet-v2: Adaptive Denoising Method and Training Strategy for Medical Image Segmentation with Small Training Data	Sep 7, 2023	DecoderDenoising	—Unverified
Multi-dimensional Fusion and Consistency for Semi-supervised Medical Image Segmentation	Sep 12, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation	May 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Multi-encoder nnU-Net outperforms Transformer models with self-supervised pretraining	Apr 4, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Multi-Granularity Vision Fastformer with Fusion Mechanism for Skin Lesion Segmentation	Apr 4, 2025	Image SegmentationLesion Segmentation	—Unverified
Multi-Layer Feature Fusion with Cross-Channel Attention-Based U-Net for Kidney Tumor Segmentation	Oct 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Multi-Modal Brain Tumor Segmentation via 3D Multi-Scale Self-attention and Cross-attention	Apr 12, 2025	Brain Tumor SegmentationDecoder	—Unverified
Multi-Modal Evaluation Approach for Medical Image Segmentation	Feb 8, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Multi-Modality Abdominal Multi-Organ Segmentation with Deep Supervised 3D Segmentation Model	Aug 24, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Multimodal Transfer Learning-based Approaches for Retinal Vascular Segmentation	Dec 18, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation	Oct 3, 2023	DecoderImage Segmentation	—Unverified
Multi-rater Prompting for Ambiguous Medical Image Segmentation	Apr 11, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Multi-Scale Cross Contrastive Learning for Semi-Supervised Medical Image Segmentation	Jun 25, 2023	Contrastive LearningImage Segmentation	—Unverified
Multiscale Progressive Text Prompt Network for Medical Image Segmentation	Jun 30, 2023	Contrastive LearningImage Segmentation	—Unverified
Multi Scale Supervised 3D U-Net for Kidney and Tumor Segmentation	Aug 9, 2019	DecoderImage Segmentation	—Unverified
Multi-Slice Dense-Sparse Learning for Efficient Liver and Tumor Segmentation	Aug 15, 2021	Automatic Liver And Tumor SegmentationImage Segmentation	—Unverified
Progressive Curriculum Learning with Scale-Enhanced U-Net for Continuous Airway Segmentation	Oct 24, 2024	Image SegmentationMedical Image Segmentation	—Unverified
CANet: Channel Extending and Axial Attention Catching Network for Multi-structure Kidney Segmentation	Aug 10, 2022	AnatomyDecoder	—Unverified
Multi Task Consistency Guided Source-Free Test-Time Domain Adaptation Medical Image Segmentation	Oct 18, 2023	Domain AdaptationImage Segmentation	—Unverified
Multi-task Federated Learning for Heterogeneous Pancreas Segmentation	Aug 19, 2021	Federated LearningImage Segmentation	—Unverified
Reducing the Model Variance of a Rectal Cancer Segmentation Network	Jan 22, 2019	Data AugmentationImage Segmentation	—Unverified
Mutual- and Self- Prototype Alignment for Semi-supervised Medical Image Segmentation	Jun 3, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Mutual Evidential Deep Learning for Medical Image Segmentation	May 18, 2025	Deep LearningImage Segmentation	—Unverified
Mutual information deep regularization for semi-supervised segmentation	Jan 25, 2020	Image SegmentationMedical Image Segmentation	—Unverified
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images	Jan 10, 2022	Data AugmentationManagement	—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