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An automated tool for detection of FLAIR-hyperintense white-matter lesions in Multiple Sclerosis
2012
NeuroImage
Automatization of T2-hyperintense lesion volumetry is desirable 68 with regard to time and cost effectiveness but also constitutes a pre-69 requisite to minimize user bias. Up to now, a number of algorithms 70 have been proposed (Table 1) but no gold standard has been estab-71 lished. Therefore, in the vast majority of clinical trials, lesions were 72 traced manually slice by slicesometimes with the help of semi-73 automated tools for contour detection. 74 Here, we aimed at the development and
doi:10.1016/j.neuroimage.2011.11.032
pmid:22119648
fatcat:ibdycqqfcrhrjembydz6kw573y