Automated diagnosis of Sturge–Weber syndrome by detecting leptomeningeal angiomatosis from MRI using a multi-task deep learning framework

ObjectivesSturge–Weber Syndrome (SWS) is a rare neurocutaneous disorder requiring early and accurate diagnosis. This study aims to develop a deep learning framework for automatic diagnosis of SWS by detecting leptomeningeal angiomatosis (LA) in brain magnetic resonance images (MRI).MethodsThis retro...

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Auteurs principaux:	Jing Wu, Xindan Hu, Chenxi Xu, Chenghao Xue, Ruisheng Su, Yumei Yan, Ruolin Hou, Weiqun Bao, Tao Tan, Xiaoqiang Wang, Dake He, Lin Xu
Format:	Artigo
Langue:	Inglês
Publié:	Frontiers Media S.A. 2026-07-01
Collection:	Frontiers in Neuroscience
Sujets:	leptomeningeal angiomatosis magnetic resonance imaging multi-scale harmonization multi-task learning Sturge–Weber syndrome
Accès en ligne:	https://www.frontiersin.org/articles/10.3389/fnins.2026.1862520/full
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