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 1901–1925 of 2089 papers

Title	Date	Tasks	Status
Unsupervised Medical Image Segmentation with Adversarial Networks: From Edge Diagrams to Segmentation Maps	Nov 12, 2019	Edge DetectionImage Segmentation	CodeCode Available
Exploiting Clinically Available Delineations for CNN-based Segmentation in Radiotherapy Treatment Planning	Nov 12, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Optimizing the Dice Score and Jaccard Index for Medical Image Segmentation: Theory & Practice	Nov 5, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available
Semi-Supervised Medical Image Segmentation via Learning Consistency under Transformations	Nov 4, 2019	Image SegmentationMedical Image Segmentation	—Unverified
The Domain Shift Problem of Medical Image Segmentation and Vendor-Adaptation by Unet-GAN	Oct 30, 2019	Generative Adversarial NetworkImage Segmentation	—Unverified
Domain Generalization via Model-Agnostic Learning of Semantic Features	Oct 29, 2019	Domain GeneralizationGeneral Knowledge	CodeCode Available
Unified Multi-scale Feature Abstraction for Medical Image Segmentation	Oct 24, 2019	DecoderImage Segmentation	—Unverified
Neural Ordinary Differential Equations for Semantic Segmentation of Individual Colon Glands	Oct 23, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available
Penalizing small errors using an Adaptive Logarithmic Loss	Oct 22, 2019	Image SegmentationMedical Image Segmentation	—Unverified
MIScnn: A Framework for Medical Image Segmentation with Convolutional Neural Networks and Deep Learning	Oct 21, 2019	Data AugmentationImage Segmentation	CodeCode Available
MixModule: Mixed CNN Kernel Module for Medical Image Segmentation	Oct 19, 2019	image-classificationImage Classification	—Unverified
Intracranial Hemorrhage Segmentation Using Deep Convolutional Model	Oct 18, 2019	Image SegmentationMedical Image Segmentation	CodeCode Available
Deep Semantic Segmentation of Natural and Medical Images: A Review	Oct 16, 2019	Image SegmentationMedical Image Analysis	—Unverified
HistoSegNet: Semantic Segmentation of Histological Tissue Type in Whole Slide Images	Oct 1, 2019	DiagnosticMedical Image Segmentation	CodeCode Available
Neural Style Transfer Improves 3D Cardiovascular MR Image Segmentation on Inconsistent Data	Sep 20, 2019	BenchmarkingEnsemble Learning	CodeCode Available
Deep learning architectures for automated image segmentation	Sep 19, 2019	Boundary DetectionDecoder	—Unverified
3D Deep Affine-Invariant Shape Learning for Brain MR Image Segmentation	Sep 14, 2019	Image SegmentationMedical Image Segmentation	—Unverified
SegNAS3D: Network Architecture Search with Derivative-Free Global Optimization for 3D Image Segmentation	Sep 12, 2019	feature selectionglobal-optimization	—Unverified
Resource Optimized Neural Architecture Search for 3D Medical Image Segmentation	Sep 2, 2019	GPUImage Segmentation	—Unverified
Linking convolutional neural networks with graph convolutional networks: application in pulmonary artery-vein separation	Sep 1, 2019	3D Medical Imaging SegmentationMedical Image Segmentation	CodeCode Available
Embracing Imperfect Datasets: A Review of Deep Learning Solutions for Medical Image Segmentation	Aug 27, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Cross-modality Knowledge Transfer for Prostate Segmentation from CT Scans	Aug 26, 2019	Image SegmentationMedical Image Segmentation	—Unverified
Automatic Rodent Brain MRI Lesion Segmentation with Fully Convolutional Networks	Aug 23, 2019	Image SegmentationLesion Segmentation	—Unverified
End-to-End Boundary Aware Networks for Medical Image Segmentation	Aug 21, 2019	Brain Tumor SegmentationImage Segmentation	—Unverified
EigenRank by Committee: A Data Subset Selection and Failure Prediction paradigm for Robust Deep Learning based Medical Image Segmentation	Aug 17, 2019	Deep LearningImage 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