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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1376–1400 of 2089 papers

Title	Date	Tasks	Status	Hype
Leveraging Global Binary Masks for Structure Segmentation in Medical Images	May 13, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Contrastive Domain Disentanglement for Generalizable Medical Image Segmentation	May 13, 2022	DisentanglementDomain Generalization	—Unverified	0
MNet: Rethinking 2D/3D Networks for Anisotropic Medical Image Segmentation	May 10, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	0
TGANet: Text-guided attention for improved polyp segmentation	May 9, 2022	AttributeMedical Image Segmentation	CodeCode Available	1
Automatic Detection of Interplanetary Coronal Mass Ejections in Solar Wind In Situ Data	May 7, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Automatic segmentation of meniscus based on MAE self-supervision and point-line weak supervision paradigm	May 7, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Invariant Content Synergistic Learning for Domain Generalization of Medical Image Segmentation	May 5, 2022	Domain GeneralizationImage Segmentation	—Unverified	0
FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation	May 4, 2022	Federated LearningImage Segmentation	CodeCode Available	1
Application of belief functions to medical image segmentation: A review	May 3, 2022	Deep LearningImage Segmentation	—Unverified	0
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation	Apr 28, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation	Apr 26, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Masked Image Modeling Advances 3D Medical Image Analysis	Apr 25, 2022	Contrastive LearningDecoder	—Unverified	0
Federated Contrastive Learning for Volumetric Medical Image Segmentation	Apr 23, 2022	Contrastive LearningFederated Learning	—Unverified	0
Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants	Apr 22, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Unsupervised Domain Adaptation for Cardiac Segmentation: Towards Structure Mutual Information Maximization	Apr 20, 2022	Cardiac SegmentationDomain Adaptation	CodeCode Available	1
Continual Hippocampus Segmentation with Transformers	Apr 17, 2022	Continual LearningHippocampus	CodeCode Available	1
U-Net and its variants for Medical Image Segmentation : A short review	Apr 17, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation	Apr 16, 2022	Federated LearningImage Segmentation	CodeCode Available	1
Y-Net: A Spatiospectral Dual-Encoder Networkfor Medical Image Segmentation	Apr 15, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
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	0
PlutoNet: An Efficient Polyp Segmentation Network with Modified Partial Decoder and Decoder Consistency Training	Apr 6, 2022	DecoderImage Segmentation	—Unverified	0
A Dempster-Shafer approach to trustworthy AI with application to fetal brain MRI segmentation	Apr 5, 2022	Image SegmentationMedical Image Segmentation	CodeCode Available	1
Federated Cross Learning for Medical Image Segmentation	Apr 5, 2022	Ensemble LearningFederated Learning	CodeCode Available	1
Exemplar Learning for Medical Image Segmentation	Apr 3, 2022	Image SegmentationMedical Image Segmentation	—Unverified	0
Histogram of Oriented Gradients Meet Deep Learning: A Novel Multi-task Deep Network for Medical Image Semantic Segmentation	Apr 2, 2022	Face IdentificationImage Segmentation	CodeCode Available	1

Show:10 25 50

← PrevPage 56 of 84Next →

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