Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework
Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework
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Switzerland: Frontiers Research Foundation
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English
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Switzerland: Frontiers Research Foundation
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Lesion volume is a meaningful measure in multiple sclerosis (MS) prognosis. Manual lesion segmentation for computing volume in a single or multiple time points is time consuming and suffers from intra and inter-observer variability.
In this paper, we present MSmetrix-long: a joint expectation-maximization (EM) framework for two time point white...
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Two Time Point MS Lesion Segmentation in Brain MRI: An Expectation-Maximization Framework
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TN_cdi_doaj_primary_oai_doaj_org_article_f811c7aeaf3c40feb46d195872f95fca
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f811c7aeaf3c40feb46d195872f95fca
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ISSN
1662-4548,1662-453X
E-ISSN
1662-453X
DOI
10.3389/fnins.2016.00576
