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Automatic Segmentation of White Matter Hyperintensities from Brain Magnetic Resonance Images in the Era of Deep Learning and Big Data – A Systematic Review

2020-11-20

Abstract excerpt

<h4>Background: </h4> White matter hyperintensities (WMH), of presumed vascular origin, are visible and quantifiable neuroradiological markers of brain parenchymal change. These changes may range from damage secondary to inflammation and other neurological conditions, through to healthy ageing. Fully automatic WMH quantification methods are promising, but still, traditional semi-automatic methods seem to be prefer...

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Literature Corpus work
13f1dc8d-8e0a-5236-b54b-de2c0e7bb6fd
DOI
10.20944/preprints202009.0210.v2
Open publication

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Automatic Segmentation of White Matter Hyperintensities from Brain Magnetic Resonance Images in the Era of Deep Learning and Big Data – A Systematic ReviewDOI 10.20944/preprints202009.0210.v2
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