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 1–25 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Efficient MedSAMs: Segment Anything in Medical Images on Laptop	Dec 20, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	7	5
U-Net v2: Rethinking the Skip Connections of U-Net for Medical Image Segmentation	Nov 29, 2023	Computational EfficiencyDecoder	CodeCode Available	6	5
Segment Anything Model for Medical Image Segmentation: Current Applications and Future Directions	Jan 7, 2024	BenchmarkingImage Segmentation	CodeCode Available	5	5
MONAI: An open-source framework for deep learning in healthcare	Nov 4, 2022	Deep LearningMedical Image Classification	CodeCode Available	5	5
SAM2-Adapter: Evaluating & Adapting Segment Anything 2 in Downstream Tasks: Camouflage, Shadow, Medical Image Segmentation, and More	Aug 8, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available	5	5
SegMamba: Long-range Sequential Modeling Mamba For 3D Medical Image Segmentation	Jan 24, 2024	Image SegmentationMamba	CodeCode Available	4	5
VM-UNet: Vision Mamba UNet for Medical Image Segmentation	Feb 4, 2024	Image SegmentationMamba	CodeCode Available	4	5
Segment Anything in Medical Images	Apr 24, 2023	DiagnosticImage Segmentation	CodeCode Available	4	5
Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation	Feb 7, 2024	Cardiac SegmentationComputational Efficiency	CodeCode Available	4	5
Medical SAM 2: Segment medical images as video via Segment Anything Model 2	Aug 1, 2024	Image SegmentationInteractive Segmentation	CodeCode Available	4	5
Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for Scribble-based Medical Image Segmentation	Feb 16, 2024	Cardiac SegmentationDecoder	CodeCode Available	4	5
3D TransUNet: Advancing Medical Image Segmentation through Vision Transformers	Oct 11, 2023	DecoderImage Segmentation	CodeCode Available	4	5
Semi-Mamba-UNet: Pixel-Level Contrastive and Pixel-Level Cross-Supervised Visual Mamba-based UNet for Semi-Supervised Medical Image Segmentation	Feb 11, 2024	Cardiac SegmentationContrastive Learning	CodeCode Available	4	5
Segment Any Medical Model Extended	Mar 26, 2024	Data AugmentationImage Segmentation	CodeCode Available	3	5
SAM-Med2D	Aug 30, 2023	DecoderImage Segmentation	CodeCode Available	3	5
SA-Med2D-20M Dataset: Segment Anything in 2D Medical Imaging with 20 Million masks	Nov 20, 2023	DiversityImage Segmentation	CodeCode Available	3	5
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	5
SegFormer3D: an Efficient Transformer for 3D Medical Image Segmentation	Apr 15, 2024	Brain Tumor SegmentationDecoder	CodeCode Available	3	5
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic Model	Nov 1, 2022	Anomaly DetectionBrain Tumor Segmentation	CodeCode Available	3	5
MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation	Sep 21, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	3	5
Medical SAM Adapter: Adapting Segment Anything Model for Medical Image Segmentation	Apr 25, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	3	5
MedSegDiff-V2: Diffusion based Medical Image Segmentation with Transformer	Jan 19, 2023	Image GenerationImage Segmentation	CodeCode Available	3	5
How to build the best medical image segmentation algorithm using foundation models: a comprehensive empirical study with Segment Anything Model	Apr 15, 2024	DecoderImage Segmentation	CodeCode Available	3	5
EMCAD: Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation	May 11, 2024	Computational EfficiencyDecoder	CodeCode Available	3	5
Interactive Medical Image Segmentation: A Benchmark Dataset and Baseline	Nov 19, 2024	Image SegmentationInteractive Segmentation	CodeCode Available	3	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