Deep learning for the diagnosis of mesial temporal lobe epilepsy

OBJECTIVE: This study aimed to enable the automatic detection of the hippocampus and diagnose mesial temporal lobe epilepsy (MTLE) with the hippocampus as the epileptogenic area using artificial intelligence (AI). We compared the diagnostic accuracies of AI and neurosurgical physicians for MTLE with...

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Detalles Bibliográficos
Autores principales: Sakashita, Kyoya, Akiyama, Yukinori, Hirano, Tsukasa, Sasagawa, Ayaka, Arihara, Masayasu, Kuribara, Tomoyoshi, Ochi, Satoko, Enatsu, Rei, Mikami, Takeshi, Mikuni, Nobuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949622/
https://www.ncbi.nlm.nih.gov/pubmed/36821567
http://dx.doi.org/10.1371/journal.pone.0282082

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949622/
https://www.ncbi.nlm.nih.gov/pubmed/36821567
http://dx.doi.org/10.1371/journal.pone.0282082

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