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 1801–1825 of 2089 papers

Title	Date	Tasks	Status
PSO-UNet: Particle Swarm-Optimized U-Net Framework for Precise Multimodal Brain Tumor Segmentation	Mar 24, 2025	Brain Tumor SegmentationHyperparameter Optimization	—Unverified
Pulmonary Artery–Vein Classification in CT Images Using Deep Learning	May 4, 2018	3D Medical Imaging SegmentationComputed Tomography (CT)	—Unverified
Push the Boundary of SAM: A Pseudo-label Correction Framework for Medical Segmentation	Aug 2, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Pyramid Medical Transformer for Medical Image Segmentation	Apr 29, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Q2A: Querying Implicit Fully Continuous Feature Pyramid to Align Features for Medical Image Segmentation	Apr 15, 2024	DecoderImage Segmentation	—Unverified
Quality-aware semi-supervised learning for CMR segmentation	Sep 1, 2020	Data AugmentationImage Segmentation	—Unverified
Quantifying the Impact of Population Shift Across Age and Sex for Abdominal Organ Segmentation	Aug 8, 2024	DiversityFairness	—Unverified
QuantU-Net: Efficient Wearable Medical Imaging Using Bitwidth as a Trainable Parameter	Mar 10, 2025	DiagnosticImage Segmentation	—Unverified
QUBIQ: Uncertainty Quantification for Biomedical Image Segmentation Challenge	Mar 19, 2024	Image SegmentationMedical Image Segmentation	—Unverified
R2U++: A Multiscale Recurrent Residual U-Net with Dense Skip Connections for Medical Image Segmentation	Jun 3, 2022	Computed Tomography (CT)Decoder	—Unverified
Radiological images and machine learning: trends, perspectives, and prospects	Mar 27, 2019	BIG-bench Machine LearningContent-Based Image Retrieval	—Unverified
RadSAM: Segmenting 3D radiological images with a 2D promptable model	Apr 29, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Randomized Dimension Reduction with Statistical Guarantees	Oct 3, 2023	Computational EfficiencyData Augmentation	—Unverified
Random Style Transfer based Domain Generalization Networks Integrating Shape and Spatial Information	Aug 27, 2020	Domain GeneralizationImage Segmentation	—Unverified
Rapid model transfer for medical image segmentation via iterative human-in-the-loop update: from labelled public to unlabelled clinical datasets for multi-organ segmentation in CT	Apr 13, 2022	Image SegmentationMedical Image Analysis	—Unverified
RecycleNet: Latent Feature Recycling Leads to Iterative Decision Refinement	Sep 14, 2023	Decision MakingImage Segmentation	—Unverified
Redesigning Out-of-Distribution Detection on 3D Medical Images	Aug 7, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Reducing Domain Gap in Frequency and Spatial domain for Cross-modality Domain Adaptation on Medical Image Segmentation	Nov 28, 2022	Domain AdaptationImage Segmentation	—Unverified
RefSAM3D: Adapting SAM with Cross-modal Reference for 3D Medical Image Segmentation	Dec 7, 2024	DecoderImage Segmentation	—Unverified
RemInD: Remembering Anatomical Variations for Interpretable Domain Adaptive Medical Image Segmentation	Feb 15, 2025	Computational EfficiencyDomain Adaptation	—Unverified
Residual Moment Loss for Medical Image Segmentation	Jun 27, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation	Sep 2, 2019	GPUImage Segmentation	—Unverified
Rethinking Client Reweighting for Selfish Federated Learning	Sep 29, 2021	Federated Learningimage-classification	—Unverified
Rethinking domain generalization in medical image segmentation: One image as one domain	Jan 8, 2025	DisentanglementDomain Generalization	—Unverified
Rethinking Few-Shot Medical Image Segmentation by SAM2: A Training-Free Framework with Augmentative Prompting and Dynamic Matching	Mar 5, 2025	Data AugmentationFew-Shot 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	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