Deep learning in rare disease. Detection of tubers in tuberous sclerosis complex

OBJECTIVE: To develop and test a deep learning algorithm to automatically detect cortical tubers in magnetic resonance imaging (MRI), to explore the utility of deep learning in rare disorders with limited data, and to generate an open-access deep learning standalone application. METHODS: T2 and FLAI...

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Библиографические подробности
Опубликовано в: :PLoS One
Главные авторы: Sánchez Fernández, Iván, Yang, Edward, Calvachi, Paola, Amengual-Gual, Marta, Wu, Joyce Y., Krueger, Darcy, Northrup, Hope, Bebin, Martina E., Sahin, Mustafa, Yu, Kun-Hsing, Peters, Jurriaan M.
Формат: Artigo
Язык:Inglês
Опубликовано: Public Library of Science 2020
Предметы:
Research Article
Online-ссылка:https://ncbi.nlm.nih.gov/pmc/articles/PMC7190137/
https://ncbi.nlm.nih.gov/pubmed/32348367
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0232376
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