Scanner agnostic large-scale evaluation of MS lesion delineation tool for clinical MRI

IntroductionPatients with MS are MRI scanned continuously throughout their disease course resulting in a large manual workload for radiologists which includes lesion detection and size estimation. Though many models for automatic lesion segmentation have been published, few are used broadly in clini...

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التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Amalie Monberg Hindsholm, Flemming Littrup Andersen, Stig Præstekjær Cramer, Helle Juhl Simonsen, Mathias Gæde Askløf, Melinda Magyari, Poul Nørgaard Madsen, Adam Espe Hansen, Finn Sellebjerg, Henrik Bo Wiberg Larsson, Annika Reynberg Langkilde, Jette Lautrup Frederiksen, Liselotte Højgaard, Claes Nøhr Ladefoged, Ulrich Lindberg
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Frontiers Media S.A. 2023-05-01
سلاسل:	Frontiers in Neuroscience
الموضوعات:	multiple sclerosis white matter lesions (WML) automatic segmentation algorithm clinical applicability clinical dataset heterogeneous dataset
الوصول للمادة أونلاين:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1177540/full
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