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 1601–1625 of 2089 papers

Title	Date	Tasks	Status
BAGNet: Bidirectional Aware Guidance Network for Malignant Breast lesions Segmentation	Apr 28, 2022	Image SegmentationMedical Image Segmentation	—Unverified
TranSiam: Fusing Multimodal Visual Features Using Transformer for Medical Image Segmentation	Apr 26, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Masked Image Modeling Advances 3D Medical Image Analysis	Apr 25, 2022	Contrastive LearningDecoder	—Unverified
Federated Contrastive Learning for Volumetric Medical Image Segmentation	Apr 23, 2022	Contrastive LearningFederated Learning	—Unverified
Development of an algorithm for medical image segmentation of bone tissue in interaction with metallic implants	Apr 22, 2022	Image SegmentationMedical Image Segmentation	—Unverified
U-Net and its variants for Medical Image Segmentation : A short review	Apr 17, 2022	Image SegmentationMedical Image 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
PlutoNet: An Efficient Polyp Segmentation Network with Modified Partial Decoder and Decoder Consistency Training	Apr 6, 2022	DecoderImage Segmentation	—Unverified
Exemplar Learning for Medical Image Segmentation	Apr 3, 2022	Image SegmentationMedical Image Segmentation	—Unverified
The impact of using voxel-level segmentation metrics on evaluating multifocal prostate cancer localisation	Mar 30, 2022	Image SegmentationMedical Image Segmentation	—Unverified
COSMOS: Cross-Modality Unsupervised Domain Adaptation for 3D Medical Image Segmentation based on Target-aware Domain Translation and Iterative Self-Training	Mar 30, 2022	Domain AdaptationImage Segmentation	—Unverified
Semantic-guided Disentangled Representation for Unsupervised Cross-modality Medical Image Segmentation	Mar 26, 2022	Domain AdaptationImage Segmentation	—Unverified
Learning to segment fetal brain tissue from noisy annotations	Mar 25, 2022	Brain SegmentationDeep Learning	—Unverified
TransFusion: Multi-view Divergent Fusion for Medical Image Segmentation with Transformers	Mar 21, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Slice Imputation: Intermediate Slice Interpolation for Anisotropic 3D Medical Image Segmentation	Mar 21, 2022	Image SegmentationImputation	—Unverified
Domain Adaptation Meets Zero-Shot Learning: An Annotation-Efficient Approach to Multi-Modality Medical Image Segmentation	Mar 19, 2022	Domain AdaptationImage Segmentation	—Unverified
Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation	Mar 18, 2022	Federated LearningImage Segmentation	—Unverified
Layer Ensembles: A Single-Pass Uncertainty Estimation in Deep Learning for Segmentation	Mar 16, 2022	Image SegmentationMedical Image Analysis	—Unverified
CapsNet for Medical Image Segmentation	Mar 16, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation	Mar 12, 2022	Federated LearningHyperparameter Optimization	—Unverified
Towards Bi-directional Skip Connections in Encoder-Decoder Architectures and Beyond	Mar 11, 2022	DecoderMedical Image Analysis	—Unverified
Medical Image Segmentation on MRI Images with Missing Modalities: A Review	Mar 11, 2022	Image GenerationImage Segmentation	—Unverified
Label-efficient Hybrid-supervised Learning for Medical Image Segmentation	Mar 10, 2022	Image SegmentationMedical Image Segmentation	—Unverified
A novel shape-based loss function for machine learning-based seminal organ segmentation in medical imaging	Mar 7, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Deep-ASPECTS: A Segmentation-Assisted Model for Stroke Severity Measurement	Mar 5, 2022	AnatomyImage Segmentation	—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