Interpretable deep learning‐based hippocampal sclerosis classification

OBJECTIVE: To evaluate the performance of a deep learning model for hippocampal sclerosis classification on the clinical dataset and suggest plausible visual interpretation for the model prediction. METHODS: T2‐weighted oblique coronal images of the brain MRI epilepsy protocol performed on patients...

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Detalles Bibliográficos
Autores principales: Kim, Dohyun, Lee, Jungtae, Moon, Jangsup, Moon, Taesup
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Original Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712484/
https://www.ncbi.nlm.nih.gov/pubmed/36177546
http://dx.doi.org/10.1002/epi4.12655

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9712484/
https://www.ncbi.nlm.nih.gov/pubmed/36177546
http://dx.doi.org/10.1002/epi4.12655

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