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 401–425 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
MCP-MedSAM: A Powerful Lightweight Medical Segment Anything Model Trained with a Single GPU in Just One Day	Dec 8, 2024	GPUImage Segmentation	CodeCode Available	1	5
MDD-UNet: Domain Adaptation for Medical Image Segmentation with Theoretical Guarantees, a Proof of Concept	Dec 19, 2023	DecoderDomain Adaptation	CodeCode Available	1	5
How to Efficiently Adapt Large Segmentation Model(SAM) to Medical Images	Jun 23, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Enhancing MR Image Segmentation with Realistic Adversarial Data Augmentation	Aug 7, 2021	Cardiac SegmentationData Augmentation	CodeCode Available	1	5
Consistency-guided Meta-Learning for Bootstrapping Semi-Supervised Medical Image Segmentation	Jul 21, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Harmonizing Pathological and Normal Pixels for Pseudo-healthy Synthesis	Mar 29, 2022	Generative Adversarial NetworkImage Enhancement	CodeCode Available	1	5
HemSeg-200: A Voxel-Annotated Dataset for Intracerebral Hemorrhages Segmentation in Brain CT Scans	May 23, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Bootstrapping Semi-supervised Medical Image Segmentation with Anatomical-aware Contrastive Distillation	Jun 6, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Contextual Attention Network: Transformer Meets U-Net	Mar 2, 2022	ArticlesImage Segmentation	CodeCode Available	1	5
Enhancing Weakly Supervised 3D Medical Image Segmentation through Probabilistic-aware Learning	Mar 5, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations	Oct 7, 2021	ClassificationMedical Image Segmentation	CodeCode Available	1	5
Continual atlas-based segmentation of prostate MRI	Nov 1, 2023	Continual Learningimage-classification	CodeCode Available	1	5
Continual Hippocampus Segmentation with Transformers	Apr 17, 2022	Continual LearningHippocampus	CodeCode Available	1	5
Medical Transformer: Gated Axial-Attention for Medical Image Segmentation	Feb 21, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
CUTS: A Deep Learning and Topological Framework for Multigranular Unsupervised Medical Image Segmentation	Sep 23, 2022	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Boosting Semi-supervised Image Segmentation with Global and Local Mutual Information Regularization	Mar 8, 2021	DecoderImage Segmentation	CodeCode Available	1	5
Boosting multiple sclerosis lesion segmentation through attention mechanism	Jul 1, 2023	Brain Image SegmentationLesion Segmentation	CodeCode Available	1	5
Towards Reliable Medical Image Segmentation by utilizing Evidential Calibrated Uncertainty	Jan 1, 2023	Computational EfficiencyImage Segmentation	CodeCode Available	1	5
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation	Mar 3, 2025	BenchmarkingComputational Efficiency	CodeCode Available	1	5
Cutting-edge 3D Medical Image Segmentation Methods in 2020: Are Happy Families All Alike?	Jan 1, 2021	AllImage Segmentation	CodeCode Available	1	5
MedVKAN: Efficient Feature Extraction with Mamba and KAN for Medical Image Segmentation	May 17, 2025	Image SegmentationMamba	CodeCode Available	1	5
Contrastive Registration for Unsupervised Medical Image Segmentation	Nov 17, 2020	Contrastive LearningImage Segmentation	CodeCode Available	1	5
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation	Mar 2, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Contrastive Semi-supervised Learning for Domain Adaptive Segmentation Across Similar Anatomical Structures	Aug 18, 2022	AnatomyContrastive Learning	CodeCode Available	1	5
DA-TransUNet: Integrating Spatial and Channel Dual Attention with Transformer U-Net for Medical Image Segmentation	Oct 19, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5

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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