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 1726–1750 of 2089 papers

Title	Date	Tasks	Status
Shifting to Machine Supervision: Annotation-Efficient Semi and Self-Supervised Learning for Automatic Medical Image Segmentation and Classification	Nov 17, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Shortcut Learning in Medical Image Segmentation	Mar 11, 2024	image-classificationImage Classification	CodeCode Available
BlazeNeo: Blazing fast polyp segmentation and neoplasm detection	Feb 28, 2022	Computational EfficiencyMedical Image Analysis	CodeCode Available
Unsupervised bias discovery in medical image segmentation	Sep 1, 2023	FairnessImage Segmentation	CodeCode Available
Dimensionality Reduction for Improving Out-of-Distribution Detection in Medical Image Segmentation	Aug 7, 2023	Dimensionality ReductionImage Segmentation	CodeCode Available
Blackbox Adaptation for Medical Image Segmentation	May 17, 2024	DecoderImage Segmentation	CodeCode Available
Simple is what you need for efficient and accurate medical image segmentation	Jun 16, 2025	feature selectionImage Segmentation	CodeCode Available
SimSAM: Zero-shot Medical Image Segmentation via Simulated Interaction	Jun 2, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture	Apr 22, 2023	DecoderDiagnostic	CodeCode Available
DiffOSeg: Omni Medical Image Segmentation via Multi-Expert Collaboration Diffusion Model	Jul 17, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging	Dec 4, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation	Feb 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Skin Lesion Segmentation Improved by Transformer-based Networks with Inter-scale Dependency Modeling	Oct 20, 2023	DecoderImage Segmentation	CodeCode Available
On Image Segmentation With Noisy Labels: Characterization and Volume Properties of the Optimal Solutions to Accuracy and Dice	Jun 13, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available
On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task	Jul 6, 2017	3D Medical Imaging SegmentationImage Segmentation	CodeCode Available
Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation	Mar 11, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
One-shot Joint Extraction, Registration and Segmentation of Neuroimaging Data	Jul 27, 2023	Brain Image SegmentationImage Registration	CodeCode Available
TransUKAN:Computing-Efficient Hybrid KAN-Transformer for Enhanced Medical Image Segmentation	Sep 23, 2024	DecoderImage Segmentation	CodeCode Available
On the relationship between calibrated predictors and unbiased volume estimation	Dec 23, 2021	Active LearningImage Segmentation	CodeCode Available
Skull stripping with purely synthetic data	May 12, 2025	Image SegmentationMedical Image Segmentation	CodeCode Available
One-pass Multi-task Networks with Cross-task Guided Attention for Brain Tumor Segmentation	Jun 5, 2019	Brain Tumor SegmentationImage Segmentation	CodeCode Available
Sli2Vol+: Segmenting 3D Medical Images Based on an Object Estimation Guided Correspondence Flow Network	Nov 21, 2024	Image SegmentationMedical Image Segmentation	CodeCode Available
AutoProSAM: Automated Prompting SAM for 3D Multi-Organ Segmentation	Aug 28, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Opinions Vary? Diagnosis First!	Feb 14, 2022	Medical Image SegmentationSegmentation	CodeCode Available
Auto-nnU-Net: Towards Automated Medical Image Segmentation	May 22, 2025	AutoMLComputational Efficiency	CodeCode Available

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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