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 1–10 of 2089 papers

Title	Date	Tasks	Status	Hype
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model	Jul 17, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
Unified Medical Image Segmentation with State Space Modeling Snake	Jul 17, 2025	Image SegmentationMamba	—Unverified	0
U-RWKV: Lightweight medical image segmentation with direction-adaptive RWKV	Jul 15, 2025	Computational EfficiencyImage Segmentation	CodeCode Available	1
HNOSeg-XS: Extremely Small Hartley Neural Operator for Efficient and Resolution-Robust 3D Image Segmentation	Jul 10, 2025	GPUImage Segmentation	CodeCode Available	0
Just Say Better or Worse: A Human-AI Collaborative Framework for Medical Image Segmentation Without Manual Annotations	Jul 8, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation	Jul 4, 2025	AnatomyDisentanglement	—Unverified	0
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model	Jul 4, 2025	Continual LearningImage Segmentation	CodeCode Available	1
Autoadaptive Medical Segment Anything Model	Jul 2, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation	Jun 30, 2025	DecoderImage Segmentation	—Unverified	0
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification	Jun 26, 2025	Image SegmentationLarge Language Model	—Unverified	0

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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	QTSeg	Average Dice (5-folds)	93.13	—	Unverified
2	RaBiT	Average Dice	0.94	—	Unverified
3	EMCAD	Average Dice	0.93	—	Unverified
4	TransResU-Net	Average Dice	0.92	—	Unverified
5	TGANet	Average Dice	0.9	—	Unverified
6	NeoUNet	Average Dice	0.81	—	Unverified
7	FocalUNet	Average Dice	0.8	—	Unverified
8	BlazeNeo	Average Dice	0.79	—	Unverified
9	ColonSegNet	Average Dice	0.69	—	Unverified