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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Detalles Bibliográficos
Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190137/
https://www.ncbi.nlm.nih.gov/pubmed/32348367
http://dx.doi.org/10.1371/journal.pone.0232376

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7190137/
https://www.ncbi.nlm.nih.gov/pubmed/32348367
http://dx.doi.org/10.1371/journal.pone.0232376

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