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 1126–1150 of 2089 papers

Title	Date	Tasks	Status
A Comprehensive Review of U-Net and Its Variants: Advances and Applications in Medical Image Segmentation	Feb 9, 2025	Image SegmentationMedical Image Segmentation	—Unverified
A Comprehensive Study on Medical Image Segmentation using Deep Neural Networks	Jun 4, 2025	EthicsExplainable artificial intelligence	—Unverified
ODES: Domain Adaptation with Expert Guidance for Online Medical Image Segmentation	Dec 8, 2023	Active LearningDomain Adaptation	—Unverified
ACT: Semi-supervised Domain-adaptive Medical Image Segmentation with Asymmetric Co-training	Jun 5, 2022	Domain AdaptationImage Segmentation	—Unverified
Adapting Off-the-Shelf Source Segmenter for Target Medical Image Segmentation	Jun 23, 2021	Domain AdaptationImage Segmentation	—Unverified
Adaptive Adversarial Training to Improve Adversarial Robustness of DNNs for Medical Image Segmentation and Detection	Jun 2, 2022	Adversarial RobustnessImage Segmentation	—Unverified
Adaptive Affinity-Based Generalization For MRI Imaging Segmentation Across Resource-Limited Settings	Apr 3, 2024	Data IntegrationKnowledge Distillation	—Unverified
Adaptive Mix for Semi-Supervised Medical Image Segmentation	Jul 31, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Adaptively Weighted Data Augmentation Consistency Regularization for Robust Optimization under Concept Shift	Oct 4, 2022	Data AugmentationImage Segmentation	—Unverified
Addressing Class Imbalance in Semi-supervised Image Segmentation: A Study on Cardiac MRI	Aug 31, 2022	Image SegmentationMedical Image Segmentation	—Unverified
A-DenseUNet: Adaptive Densely Connected UNet for Polyp Segmentation in Colonoscopy Images with Atrous Convolution	Feb 19, 2021	DecoderDimensionality Reduction	—Unverified
A Divide-and-Conquer Approach towards Understanding Deep Networks	Jul 14, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Advancing 3D Medical Image Segmentation: Unleashing the Potential of Planarian Neural Networks in Artificial Intelligence	May 7, 2025	Data AugmentationHippocampus	—Unverified
Advancing Medical Image Segmentation with Mini-Net: A Lightweight Solution Tailored for Efficient Segmentation of Medical Images	May 27, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Advancing Volumetric Medical Image Segmentation via Global-Local Masked Autoencoder	Jun 15, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Adversarial Attack Driven Data Augmentation for Accurate And Robust Medical Image Segmentation	May 25, 2021	Adversarial AttackData Augmentation	—Unverified
Adversarial Consistency for Single Domain Generalization in Medical Image Segmentation	Jun 28, 2022	Contrastive LearningDomain Generalization	—Unverified
A dynamic interactive learning framework for automated 3D medical image segmentation	Dec 11, 2023	Image RegistrationImage Segmentation	—Unverified
A Characteristic Function-based Algorithm for Geodesic Active Contours	Jul 1, 2020	Image SegmentationLesion Segmentation	—Unverified
A Fast, Semi-Automatic Brain Structure Segmentation Algorithm for Magnetic Resonance Imaging	Apr 21, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Affinity-Graph-Guided Contractive Learning for Pretext-Free Medical Image Segmentation with Minimal Annotation	Oct 14, 2024	Contrastive LearningImage Segmentation	—Unverified
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation	Oct 20, 2021	DecoderGPU	—Unverified
Agglomerating Large Vision Encoders via Distillation for VFSS Segmentation	Apr 3, 2025	Image SegmentationKnowledge Distillation	—Unverified
A hybrid approach based segmentation technique for brain tumor in MRI Images	Mar 8, 2016	Image SegmentationMedical Image Segmentation	—Unverified
A hybrid approach for improving U-Net variants in medical image segmentation	Jul 31, 2023	Image SegmentationLesion Segmentation	—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	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