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 1451–1475 of 2089 papers

Title	Date	Tasks	Status
Semantic Image Segmentation: Two Decades of Research	Feb 13, 2023	Domain AdaptationDomain Generalization	—Unverified
RFC-Net: Learning High Resolution Global Features for Medical Image Segmentation on a Computational Budget	Feb 13, 2023	Image SegmentationMedical Diagnosis	—Unverified
Multi-Modal Evaluation Approach for Medical Image Segmentation	Feb 8, 2023	Image SegmentationMedical Image Segmentation	—Unverified
A Generalized Surface Loss for Reducing the Hausdorff Distance in Medical Imaging Segmentation	Feb 8, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
Improving CT Image Segmentation Accuracy Using StyleGAN Driven Data Augmentation	Feb 7, 2023	Data AugmentationImage Segmentation	—Unverified
Selecting the Best Optimizers for Deep Learning based Medical Image Segmentation	Feb 5, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Weakly-Supervised 3D Medical Image Segmentation using Geometric Prior and Contrastive Similarity	Feb 4, 2023	Image SegmentationMedical Image Segmentation	—Unverified
FCB-SwinV2 Transformer for Polyp Segmentation	Feb 2, 2023	Medical Image SegmentationSegmentation	—Unverified
Continual Segment: Towards a Single, Unified and Accessible Continual Segmentation Model of 143 Whole-body Organs in CT Scans	Feb 1, 2023	Continual Semantic SegmentationDecoder	—Unverified
Continuous U-Net: Faster, Greater and Noiseless	Feb 1, 2023	BenchmarkingDecoder	—Unverified
Estimation of mitral valve hinge point coordinates -- deep neural net for echocardiogram segmentation	Jan 20, 2023	Feature EngineeringGPU	—Unverified
SegViz: A federated-learning based framework for multi-organ segmentation on heterogeneous data sets with partial annotations	Jan 17, 2023	Federated LearningImage Segmentation	—Unverified
TAAL: Test-time Augmentation for Active Learning in Medical Image Segmentation	Jan 16, 2023	Active LearningImage Segmentation	CodeCode Available
ZScribbleSeg: Zen and the Art of Scribble Supervised Medical Image Segmentation	Jan 12, 2023	Image SegmentationMedical Image Segmentation	—Unverified
A new dataset for measuring the performance of blood vessel segmentation methods under distribution shifts	Jan 11, 2023	Image SegmentationMedical Image Segmentation	CodeCode Available
RUPNet: Residual upsampling network for real-time polyp segmentation	Jan 6, 2023	DecoderMedical Image Segmentation	—Unverified
Finding the Most Transferable Tasks for Brain Image Segmentation	Jan 3, 2023	Brain Image SegmentationImage Segmentation	—Unverified
Learning Confident Classifiers in the Presence of Label Noise	Jan 2, 2023	Image SegmentationMedical Image Segmentation	—Unverified
Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans	Jan 1, 2023	Continual Semantic SegmentationDecoder	—Unverified
Informing selection of performance metrics for medical image segmentation evaluation using configurable synthetic errors	Dec 30, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Annotation by Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation	Dec 17, 2022	Image SegmentationMedical Image Segmentation	—Unverified
M-GenSeg: Domain Adaptation For Target Modality Tumor Segmentation With Annotation-Efficient Supervision	Dec 14, 2022	Brain Tumor SegmentationDomain Adaptation	CodeCode Available
Efficient Bayesian Uncertainty Estimation for nnU-Net	Dec 12, 2022	Image SegmentationMedical Image Segmentation	—Unverified
Few-shot Medical Image Segmentation with Cycle-resemblance Attention	Dec 7, 2022	Few-Shot LearningImage Segmentation	—Unverified
ERNet: Unsupervised Collective Extraction and Registration in Neuroimaging Data	Dec 6, 2022	Brain Image SegmentationImage Registration	CodeCode Available

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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