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Automated algorithm for counting microbleeds in patients with familial cerebral cavernous malformations
PurposeFamilial cerebral cavernous malformation (CCM) patients present with multiple lesions that can grow both in number and size over time and are reliably detected on susceptibility-weighted imaging (SWI). Manual counting of lesions is arduous and subject to high variability. We aimed to develop
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