Deep learning for the diagnosis of mesial temporal lobe epilepsy

Deep learning for the diagnosis of mesial temporal lobe epilepsy

Show other versions (1)

<h4>Objective</h4> 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 phys...

Full description

Bibliographic Details
Main Authors: Kyoya Sakashita, Yukinori Akiyama, Tsukasa Hirano, Ayaka Sasagawa, Masayasu Arihara, Tomoyoshi Kuribara, Satoko Ochi, Rei Enatsu, Takeshi Mikami, Nobuhiro Mikuni
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949622/?tool=EBI

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949622/?tool=EBI

Similar Items