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 1651–1675 of 2089 papers

Title	Date	Tasks	Status
Medical Report Generation based on Segment-Enhanced Contrastive Representation Learning	Dec 26, 2023	Contrastive LearningImage Segmentation	—Unverified
Medical Semantic Segmentation with Diffusion Pretrain	Jan 31, 2025	Image SegmentationLinear evaluation	—Unverified
Medical Visual Prompting (MVP): A Unified Framework for Versatile and High-Quality Medical Image Segmentation	Apr 1, 2024	Image SegmentationMedical Image Segmentation	—Unverified
MedMAP: Promoting Incomplete Multi-modal Brain Tumor Segmentation with Alignment	Aug 18, 2024	Brain Tumor SegmentationDomain Adaptation	—Unverified
MedPrompt: LLM-CNN Fusion with Weight Routing for Medical Image Segmentation and Classification	Jun 26, 2025	Image SegmentationLarge Language Model	—Unverified
MedSAGa: Few-shot Memory Efficient Medical Image Segmentation using Gradient Low-Rank Projection in SAM	Jul 21, 2024	Few-Shot LearningGPU	—Unverified
MedSAM-CA: A CNN-Augmented ViT with Attention-Enhanced Multi-Scale Fusion for Medical Image Segmentation	Jun 30, 2025	DecoderImage Segmentation	—Unverified
MedSAM-U: Uncertainty-Guided Auto Multi-Prompt Adaptation for Reliable MedSAM	Sep 2, 2024	Image SegmentationMedical Image Segmentation	—Unverified
MedSegDiffNCA: Diffusion Models With Neural Cellular Automata for Skin Lesion Segmentation	Jan 5, 2025	DenoisingImage Generation	—Unverified
MedSegNet10: A Publicly Accessible Network Repository for Split Federated Medical Image Segmentation	Mar 26, 2025	Federated LearningImage Segmentation	—Unverified
MedSeg-R: Medical Image Segmentation with Clinical Reasoning	Jun 23, 2025	DecoderImage Segmentation	—Unverified
MedSeg-R: Reasoning Segmentation in Medical Images with Multimodal Large Language Models	Jun 12, 2025	Image SegmentationMedical Diagnosis	—Unverified
MedVisionLlama: Leveraging Pre-Trained Large Language Model Layers to Enhance Medical Image Segmentation	Oct 3, 2024	DiagnosticImage Segmentation	—Unverified
Memory Consistent Unsupervised Off-the-Shelf Model Adaptation for Source-Relaxed Medical Image Segmentation	Sep 16, 2022	Brain Tumor SegmentationDomain Adaptation	—Unverified
Meta Corrupted Pixels Mining for Medical Image Segmentation	Jul 7, 2020	Image SegmentationMedical Image Analysis	—Unverified
Meta-hallucinator: Towards Few-Shot Cross-Modality Cardiac Image Segmentation	May 11, 2023	Cardiac SegmentationDomain Adaptation	—Unverified
A Novel Deep Learning Based Approach for Left Ventricle Segmentation in Echocardiography: MFP-Unet	Jun 25, 2019	DecoderImage Segmentation	—Unverified
MGFI-Net: A Multi-Grained Feature Integration Network for Enhanced Medical Image Segmentation	Feb 19, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Mind The Gap: Alleviating Local Imbalance for Unsupervised Cross-Modality Medical Image Segmentation	May 24, 2022	Cardiac SegmentationDisentanglement	—Unverified
Mitigating False Predictions In Unreasonable Body Regions	Apr 24, 2024	Domain GeneralizationImage Segmentation	—Unverified
MixCL: Pixel label matters to contrastive learning	Mar 4, 2022	Contrastive LearningImage Segmentation	—Unverified
Mixed-Block Neural Architecture Search for Medical Image Segmentation	Feb 23, 2022	Decoderimage-classification	—Unverified
Mixed Prototype Consistency Learning for Semi-supervised Medical Image Segmentation	Apr 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Mixed-Supervised Dual-Network for Medical Image Segmentation	Jul 24, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Mixing Data Augmentation with Preserving Foreground Regions in Medical Image Segmentation	Apr 26, 2023	Data AugmentationDeep Learning	—Unverified

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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	SegMed	mean Dice	0.95	—	Unverified
10	DuAT	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	Automatic AI-SAM	Avg DSC	92.06	—	Unverified
10	nnFormer	Avg DSC	92.06	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Stardist	F1	84.6	—	Unverified