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 2051–2075 of 2089 papers

Title	Date	Tasks	Status
Unified Multi-scale Feature Abstraction for Medical Image Segmentation	Oct 24, 2019	DecoderImage Segmentation	—Unverified
Universal Segmentation of 33 Anatomies	Mar 4, 2022	GPUImage Segmentation	—Unverified
Universal Topology Refinement for Medical Image Segmentation with Polynomial Feature Synthesis	Sep 15, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Unpaired cross-modality educed distillation (CMEDL) for medical image segmentation	Jul 16, 2021	Image SegmentationMedical Image Segmentation	—Unverified
Unsupervised augmentation optimization for few-shot medical image segmentation	Jun 8, 2023	AnatomyFew-Shot Semantic Segmentation	—Unverified
Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images	Oct 14, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Unsupervised Domain Adaptation for Medical Image Segmentation via Feature-space Density Matching	May 9, 2023	Density EstimationDomain Adaptation	—Unverified
Unsupervised Domain Adaptation with Variational Approximation for Cardiac Segmentation	Jun 16, 2021	Cardiac SegmentationDomain Adaptation	—Unverified
Unsupervised Feature Clustering Improves Contrastive Representation Learning for Medical Image Segmentation	Nov 15, 2022	ClusteringContrastive Learning	—Unverified
Unsupervised Model Adaptation for Source-free Segmentation of Medical Images	Nov 2, 2022	Domain AdaptationImage Segmentation	—Unverified
Unsupervised Segmentation of 3D Medical Images Based on Clustering and Deep Representation Learning	Apr 11, 2018	ClusteringImage Segmentation	—Unverified
UOLO - automatic object detection and segmentation in biomedical images	Oct 9, 2018	Fovea DetectionMedical Image Segmentation	—Unverified
Using Foundation Models as Pseudo-Label Generators for Pre-Clinical 4D Cardiac CT Segmentation	May 14, 2025	Image SegmentationMedical Image Segmentation	—Unverified
Using Soft Labels to Model Uncertainty in Medical Image Segmentation	Sep 26, 2021	Image SegmentationMedical Image Segmentation	—Unverified
UXNet: Searching Multi-level Feature Aggregation for 3D Medical Image Segmentation	Sep 16, 2020	DecoderImage Segmentation	—Unverified
Vision Foundation Models in Medical Image Analysis: Advances and Challenges	Feb 20, 2025	Domain AdaptationFederated Learning	—Unverified
V-NAS: Neural Architecture Search for Volumetric Medical Image Segmentation	Jun 6, 2019	GPUImage Segmentation	—Unverified
Volumetric Attention for 3D Medical Image Segmentation and Detection	Apr 4, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Volumetric Medical Image Segmentation: A 3D Deep Coarse-to-fine Framework and Its Adversarial Examples	Oct 29, 2020	Image SegmentationMedical Image Segmentation	—Unverified
Volumetric Medical Image Segmentation via Scribble Annotations and Shape Priors	Oct 12, 2023	Image SegmentationMedical Image Analysis	—Unverified
VoteNet: A Deep Learning Label Fusion Method for Multi-Atlas Segmentation	Apr 18, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Voxel-level Siamese Representation Learning for Abdominal Multi-Organ Segmentation	May 17, 2021	Contrastive LearningImage Segmentation	—Unverified
Voxel-wise Adversarial Semi-supervised Learning for Medical Image Segmentation	May 14, 2022	Image SegmentationMedical Image Segmentation	—Unverified
WATUNet: A Deep Neural Network for Segmentation of Volumetric Sweep Imaging Ultrasound	Nov 17, 2023	DecoderImage Segmentation	—Unverified
WaveFormer: A 3D Transformer with Wavelet-Driven Feature Representation for Efficient Medical Image Segmentation	Mar 31, 2025	Image SegmentationMedical Image Analysis	—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