Segmentation of hyperacute cerebral infarcts based on sparse representation of diffusion weighted imaging

DOI10.1155/2016/2581676zbMATH Open1367.92068DBLPjournals/cmmm/ZhangJGXSLRH16OpenAlexW2523707942WikidataQ37322847 ScholiaQ37322847MaRDI QIDQ2012993

Yanyan Li

Publication date: 3 August 2017

Published in: Computational \& Mathematical Methods in Medicine (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2016/2581676

zbMATH Keywords

diffusion weighted imagingDice coefficientinfarcts

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Medical applications (general) (92C50)

Cites Work

• Least angle regression. (With discussion)
• $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
• Regularization and Variable Selection Via the Elastic Net
• Title not available (Why is that?)

Related Items (2)

Corrigendum to: ``Segmentation of hyperacute cerebral infarcts based on sparse representation of diffusion weighted imaging ⋮ New Resolution Strategy for Multi-scale Reaction Waves using Time Operator Splitting and Space Adaptive Multiresolution: Application to Human Ischemic Stroke

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