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 826–850 of 2089 papers

Title	Date	Tasks	Status
Contextual Hourglass Networks for Segmentation and Density Estimation	Jun 8, 2018	Density EstimationImage Segmentation	—Unverified
GASNet: Weakly-supervised Framework for COVID-19 Lesion Segmentation	Oct 19, 2020	Image SegmentationLesion Segmentation	—Unverified
A survey on shape-constraint deep learning for medical image segmentation	Jan 19, 2021	Image SegmentationMedical Image Segmentation	—Unverified
GASA-UNet: Global Axial Self-Attention U-Net for 3D Medical Image Segmentation	Sep 20, 2024	Image SegmentationMedical Image Segmentation	—Unverified
FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation	Apr 26, 2023	Domain AdaptationImage Segmentation	—Unverified
FUTURE-AI: Guiding Principles and Consensus Recommendations for Trustworthy Artificial Intelligence in Medical Imaging	Sep 20, 2021	FairnessImage Reconstruction	—Unverified
Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation	Sep 16, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Fully Convolutional Multi-scale Residual DenseNets for Cardiac Segmentation and Automated Cardiac Diagnosis using Ensemble of Classifiers	Jan 16, 2018	Cardiac SegmentationDiagnostic	—Unverified
Constrained Multiview Representation for Self-supervised Contrastive Learning	Feb 5, 2024	Contrastive LearningDisentanglement	—Unverified
Knowledge-based Fully Convolutional Network and Its Application in Segmentation of Lung CT Images	May 22, 2018	Image SegmentationMedical Image Segmentation	—Unverified
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model	Jun 19, 2018	Image RegistrationImage Segmentation	—Unverified
Generative Text-Guided 3D Vision-Language Pretraining for Unified Medical Image Segmentation	Jun 7, 2023	Computed Tomography (CT)Contrastive Learning	—Unverified
GIGP: A Global Information Interacting and Geometric Priors Focusing Framework for Semi-supervised Medical Image Segmentation	Mar 12, 2025	Image SegmentationMamba	—Unverified
An image segmentation algorithm based on multi-scale feature pyramid network	May 18, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation	May 13, 2022	DisentanglementDomain Generalization	—Unverified
From Semantic Segmentation of Natural Images to Medical Image Segmentation Using ViT-Based Architectures	Jan 31, 2025	Image SegmentationLesion Segmentation	—Unverified
Global-Local Medical SAM Adaptor Based on Full Adaption	Sep 26, 2024	Image SegmentationMedical Image Segmentation	—Unverified
Globally Optimal Segmentation of Mutually Interacting Surfaces using Deep Learning	Jul 2, 2020	Deep LearningImage Segmentation	—Unverified
Computer-Vision Benchmark Segment-Anything Model (SAM) in Medical Images: Accuracy in 12 Datasets	Apr 18, 2023	Image SegmentationMedical Image Segmentation	—Unverified
AFTer-UNet: Axial Fusion Transformer UNet for Medical Image Segmentation	Oct 20, 2021	DecoderGPU	—Unverified
Kidney and Kidney Tumor Segmentation using a Logical Ensemble of U-nets with Volumetric Validation	Aug 7, 2019	Computed Tomography (CT)Image Segmentation	—Unverified
Consensus Based Medical Image Segmentation Using Semi-Supervised Learning And Graph Cuts	Dec 7, 2016	Image SegmentationMedical Image Segmentation	—Unverified
From Few to More: Scribble-based Medical Image Segmentation via Masked Context Modeling and Continuous Pseudo Labels	Aug 23, 2024	Image SegmentationMedical Image Segmentation	—Unverified
A Study on the Use of Edge TPUs for Eye Fundus Image Segmentation	Jul 26, 2022	Image SegmentationMedical Image Segmentation	—Unverified
From Deterministic to Probabilistic: A Novel Perspective on Domain Generalization for Medical Image Segmentation	Dec 7, 2024	Contrastive LearningDomain Generalization	—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	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