Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study-Reference-Cited by-同舟云学术

Classifiers for Ischemic Stroke Lesion Segmentation: A Comparison Study

Published:2015-12-16 Issue:12 Volume:10 Page:e0145118
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Maier Oskar,Schröder Christoph,Forkert Nils Daniel,Martinetz Thomas,Handels Heinz

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference33 articles.

1. Impact of severe extracranial ICA stenosis on MRI perfusion and diffusion parameters in acute ischemic stroke;P Kaesemann;Frontiers in Neurology,2014

2. Medical image analysis methods in MR/CT-imaged acute-subacute ischemic stroke lesion: Segmentation, prediction and insights into dynamic evolution simulation models. A critical appraisal;I Rekik;NeuroImage: Clinical,2012

3. Lesion identification using unified segmentation-normalisation models and fuzzy clustering;ML Seghier;NeuroImage,2008

4. Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on;F Forbes,2010

5. Manual, semi-automated, and automated delineation of chronic brain lesions: a comparison of methods;M Wilke;NeuroImage,2011

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