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 26–50 of 2089 papers

Title	Date	Tasks	Status	Hype
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation	Jun 12, 2025	Domain GeneralizationImage Segmentation	CodeCode Available	0
SWDL: Stratum-Wise Difference Learning with Deep Laplacian Pyramid for Semi-Supervised 3D Intracranial Hemorrhage Segmentation	Jun 12, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
SRPL-SFDA: SAM-Guided Reliable Pseudo-Labels for Source-Free Domain Adaptation in Medical Image Segmentation	Jun 11, 2025	Domain AdaptationImage Segmentation	CodeCode Available	0
SSS: Semi-Supervised SAM-2 with Efficient Prompting for Medical Imaging Segmentation	Jun 10, 2025	Data AugmentationImage Segmentation	CodeCode Available	0
C3S3: Complementary Competition and Contrastive Selection for Semi-Supervised Medical Image Segmentation	Jun 9, 2025	Contrastive LearningDiagnostic	CodeCode Available	1
Text-guided multi-stage cross-perception network for medical image segmentation	Jun 9, 2025	Image SegmentationMedical Image Segmentation	—Unverified	0
SAM-aware Test-time Adaptation for Universal Medical Image Segmentation	Jun 5, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
DM-SegNet: Dual-Mamba Architecture for 3D Medical Image Segmentation with Global Context Modeling	Jun 5, 2025	AnatomyBrain Tumor Segmentation	—Unverified	0
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks	Jun 4, 2025	EthicsExplainable artificial intelligence	—Unverified	0
Hierarchical Self-Prompting SAM: A Prompt-Free Medical Image Segmentation Framework	Jun 3, 2025	Image SegmentationLesion Segmentation	—Unverified	0
Beyond Pixel Agreement: Large Language Models as Clinical Guardrails for Reliable Medical Image Segmentation	Jun 2, 2025	DiagnosticImage Segmentation	—Unverified	0
Decoupled Competitive Framework for Semi-supervised Medical Image Segmentation	May 30, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	0
ACM-UNet: Adaptive Integration of CNNs and Mamba for Efficient Medical Image Segmentation	May 30, 2025	DecoderImage Segmentation	CodeCode Available	0
Unleashing the Power of Intermediate Domains for Mixed Domain Semi-Supervised Medical Image Segmentation	May 30, 2025	Domain AdaptationImage Segmentation	CodeCode Available	0
PCA for Enhanced Cross-Dataset Generalizability in Breast Ultrasound Tumor Segmentation	May 29, 2025	Domain AdaptationImage Segmentation	—Unverified	0
MAMBO-NET: Multi-Causal Aware Modeling Backdoor-Intervention Optimization for Medical Image Segmentation Network	May 28, 2025	Causal InferenceImage Segmentation	—Unverified	0
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation	May 26, 2025	Data AugmentationDomain Generalization	CodeCode Available	1
CDPDNet: Integrating Text Guidance with Hybrid Vision Encoders for Medical Image Segmentation	May 25, 2025	Image SegmentationLong-range modeling	CodeCode Available	0
Domain and Task-Focused Example Selection for Data-Efficient Contrastive Medical Image Segmentation	May 25, 2025	Computed Tomography (CT)Contrastive Learning	CodeCode Available	0
MSLAU-Net: A Hybird CNN-Transformer Network for Medical Image Segmentation	May 24, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1
TK-Mamba: Marrying KAN with Mamba for Text-Driven 3D Medical Image Segmentation	May 24, 2025	Image SegmentationKolmogorov-Arnold Networks	CodeCode Available	0
FreqU-FNet: Frequency-Aware U-Net for Imbalanced Medical Image Segmentation	May 23, 2025	DecoderImage Segmentation	—Unverified	0
CENet: Context Enhancement Network for Medical Image Segmentation	May 23, 2025	DecoderImage Segmentation	CodeCode Available	1
Background Matters: A Cross-view Bidirectional Modeling Framework for Semi-supervised Medical Image Segmentation	May 22, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Auto-nnU-Net: Towards Automated Medical Image Segmentation	May 22, 2025	AutoMLComputational Efficiency	CodeCode Available	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	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