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
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	—Unverified	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
SAMed-2: Selective Memory Enhanced Medical Segment Anything Model	Jul 4, 2025	Continual LearningImage Segmentation	CodeCode Available	1
Causal-SAM-LLM: Large Language Models as Causal Reasoners for Robust Medical Segmentation	Jul 4, 2025	AnatomyDisentanglement	—Unverified	0
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
AI-Driven MRI-based Brain Tumour Segmentation Benchmarking	Jun 25, 2025	BenchmarkingImage Segmentation	—Unverified	0
EAGLE: An Efficient Global Attention Lesion Segmentation Model for Hepatic Echinococcosis	Jun 25, 2025	Image SegmentationLesion Segmentation	—Unverified	0
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation	Jun 25, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
SAM2-SGP: Enhancing SAM2 for Medical Image Segmentation via Support-Set Guided Prompting	Jun 24, 2025	Computed Tomography (CT)Image Segmentation	CodeCode Available	0
MedSeg-R: Medical Image Segmentation with Clinical Reasoning	Jun 23, 2025	DecoderImage Segmentation	—Unverified	0
Rethinking Decoder Design: Improving Biomarker Segmentation Using Depth-to-Space Restoration and Residual Linear Attention	Jun 23, 2025	DecoderImage Segmentation	CodeCode Available	1
SafeClick: Error-Tolerant Interactive Segmentation of Any Medical Volumes via Hierarchical Expert Consensus	Jun 23, 2025	Image SegmentationInteractive Segmentation	CodeCode Available	0
Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster	Jun 22, 2025	DecoderImage Segmentation	CodeCode Available	2
TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration	Jun 20, 2025	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1
Automated MRI Tumor Segmentation using hybrid U-Net with Transformer and Efficient Attention	Jun 18, 2025	Image AugmentationImage Segmentation	—Unverified	0
Pixel-wise Modulated Dice Loss for Medical Image Segmentation	Jun 17, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
Simple is what you need for efficient and accurate medical image segmentation	Jun 16, 2025	feature selectionImage Segmentation	CodeCode Available	0
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models	Jun 12, 2025	Image SegmentationMedical Diagnosis	—Unverified	0
Med-URWKV: Pure RWKV With ImageNet Pre-training For Medical Image Segmentation	Jun 12, 2025	Image SegmentationLong-range modeling	—Unverified	0
Generalist Models in Medical Image Segmentation: A Survey and Performance Comparison with Task-Specific Approaches	Jun 12, 2025	Image SegmentationMedical Image Segmentation	—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	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