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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 26–50 of 2089 papers

Title	Date	Tasks	Status	Hype
SAM-Med2D	Aug 30, 2023	DecoderImage Segmentation	CodeCode Available	3
SAM Fails to Segment Anything? -- SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More	Apr 18, 2023	General KnowledgeImage Segmentation	CodeCode Available	3
Segment Any Medical Model Extended	Mar 26, 2024	Data AugmentationImage Segmentation	CodeCode Available	3
A Short Review and Evaluation of SAM2's Performance in 3D CT Image Segmentation	Aug 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	3
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation	Apr 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	3
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation	Sep 21, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	3
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model	Nov 1, 2022	Anomaly DetectionBrain Tumor Segmentation	CodeCode Available	3
xLSTM-UNet can be an Effective 2D & 3D Medical Image Segmentation Backbone with Vision-LSTM (ViL) better than its Mamba Counterpart	Jul 1, 2024	3D Medical Imaging Segmentationimage-classification	CodeCode Available	3
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer	Jan 19, 2023	Image GenerationImage Segmentation	CodeCode Available	3
SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation	Aug 16, 2024	Image SegmentationMarine Animal Segmentation	CodeCode Available	3
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks	Nov 20, 2023	DiversityImage Segmentation	CodeCode Available	3
LViT: Language meets Vision Transformer in Medical Image Segmentation	Jun 29, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	2
M^2SNet: Multi-scale in Multi-scale Subtraction Network for Medical Image Segmentation	Mar 20, 2023	Computed Tomography (CT)Decoder	CodeCode Available	2
Leveraging Hallucinations to Reduce Manual Prompt Dependency in Promptable Segmentation	Aug 27, 2024	Camouflaged Object SegmentationCamouflaged Object Segmentation with a Single Task-generic Prompt	CodeCode Available	2
Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation	Dec 18, 2024	Image SegmentationKnowledge Distillation	CodeCode Available	2
LHU-Net: A Light Hybrid U-Net for Cost-Efficient, High-Performance Volumetric Medical Image Segmentation	Apr 7, 2024	Computational EfficiencyImage Segmentation	CodeCode Available	2
mAIstro: an open-source multi-agentic system for automated end-to-end development of radiomics and deep learning models for medical imaging	Apr 30, 2025	AI AgentClassification	CodeCode Available	2
H-vmunet: High-order Vision Mamba UNet for Medical Image Segmentation	Mar 20, 2024	Image SegmentationLesion Segmentation	CodeCode Available	2
HiDiff: Hybrid Diffusion Framework for Medical Image Segmentation	Jul 3, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	2
Generative AI Enables Medical Image Segmentation in Ultra Low-Data Regimes	Aug 30, 2024	Deep LearningImage Segmentation	CodeCode Available	2
Generative Medical Segmentation	Mar 27, 2024	DecoderDomain Generalization	CodeCode Available	2
HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image Segmentation	Aug 21, 2024	Image SegmentationMamba	CodeCode Available	2
LKM-UNet: Large Kernel Vision Mamba UNet for Medical Image Segmentation	Mar 12, 2024	Image SegmentationLong-range modeling	CodeCode Available	2
A Data-scalable Transformer for Medical Image Segmentation: Architecture, Model Efficiency, and Benchmark	Feb 28, 2022	Image SegmentationInductive Bias	CodeCode Available	2
EM-Net: Efficient Channel and Frequency Learning with Mamba for 3D Medical Image Segmentation	Sep 26, 2024	Image SegmentationMamba	CodeCode Available	2

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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	RaBiT	mean Dice	0.95	—	Unverified
5	Yolo-SAM 2	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