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 576–600 of 2089 papers

Title	Date	Tasks	Status	Hype	Score
Each Test Image Deserves A Specific Prompt: Continual Test-Time Adaptation for 2D Medical Image Segmentation	Nov 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Disentangling Human Error from Ground Truth in Segmentation of Medical Images	Dec 1, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1	5
Disentangling Human Error from the Ground Truth in Segmentation of Medical Images	Jul 31, 2020	Medical Image SegmentationSegmentation	CodeCode Available	1	5
Boosting multiple sclerosis lesion segmentation through attention mechanism	Jul 1, 2023	Brain Image SegmentationLesion Segmentation	CodeCode Available	1	5
From Claims to Evidence: A Unified Framework and Critical Analysis of CNN vs. Transformer vs. Mamba in Medical Image Segmentation	Mar 3, 2025	BenchmarkingComputational Efficiency	CodeCode Available	1	5
DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation	Dec 21, 2022	Image SegmentationLesion Segmentation	CodeCode Available	1	5
MSRF-Net: A Multi-Scale Residual Fusion Network for Biomedical Image Segmentation	May 16, 2021	Image SegmentationLesion Segmentation	CodeCode Available	1	5
3D Medical Image Segmentation with Sparse Annotation via Cross-Teaching between 3D and 2D Networks	Jul 30, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Exploring Smoothness and Class-Separation for Semi-supervised Medical Image Segmentation	Mar 2, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
DivergentNets: Medical Image Segmentation by Network Ensemble	Jul 1, 2021	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
DuSSS: Dual Semantic Similarity-Supervised Vision-Language Model for Semi-Supervised Medical Image Segmentation	Dec 17, 2024	Contrastive LearningImage Segmentation	CodeCode Available	1	5
False Negative/Positive Control for SAM on Noisy Medical Images	Aug 20, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Generalisable 3D Fabric Architecture for Streamlined Universal Multi-Dataset Medical Image Segmentation	Jun 28, 2020	AnatomyImage Segmentation	CodeCode Available	1	5
Factorizer: A Scalable Interpretable Approach to Context Modeling for Medical Image Segmentation	Feb 24, 2022	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1	5
FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification	Jul 11, 2024	Domain AdaptationFairness	CodeCode Available	1	5
EffiSegNet: Gastrointestinal Polyp Segmentation through a Pre-Trained EfficientNet-based Network with a Simplified Decoder	Jul 23, 2024	DecoderImage Segmentation	CodeCode Available	1	5
MetaFormer and CNN Hybrid Model for Polyp Image Segmentation	Sep 16, 2024	BenchmarkingImage Segmentation	CodeCode Available	1	5
D-Net: Dynamic Large Kernel with Dynamic Feature Fusion for Volumetric Medical Image Segmentation	Mar 15, 2024	Brain Tumor SegmentationImage Segmentation	CodeCode Available	1	5
DoDNet: Learning to segment multi-organ and tumors from multiple partially labeled datasets	Nov 20, 2020	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
FastGeodis: Fast Generalised Geodesic Distance Transform	Jul 26, 2022	CPUGPU	CodeCode Available	1	5
FCN-Transformer Feature Fusion for Polyp Segmentation	Aug 17, 2022	Lesion DetectionMedical Image Segmentation	CodeCode Available	1	5
Domain Adaptation of Echocardiography Segmentation Via Reinforcement Learning	Jun 25, 2024	Domain AdaptationImage Segmentation	CodeCode Available	1	5
Domain and Content Adaptive Convolution based Multi-Source Domain Generalization for Medical Image Segmentation	Sep 13, 2021	DecoderDomain Generalization	CodeCode Available	1	5
Adaptive t-vMF Dice Loss for Multi-class Medical Image Segmentation	Jul 16, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1	5
Deep learning in magnetic resonance prostate segmentation: A review and a new perspective	Nov 16, 2020	Medical DiagnosisMedical Image Segmentation	CodeCode Available	1	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	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