Machine Learning for Localizing Epileptogenic-Zone in the Temporal Lobe: Quantifying the Value of Multimodal Clinical-Semiology and Imaging Concordance

Background: Epilepsy affects 50 million people worldwide and a third are refractory to medication. If a discrete cerebral focus or network can be identified, neurosurgical resection can be curative. Most excisions are in the temporal-lobe, and are more likely to result in seizure-freedom than extra-...

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Detalles Bibliográficos
Autores principales: Alim-Marvasti, Ali, Pérez-García, Fernando, Dahele, Karan, Romagnoli, Gloria, Diehl, Beate, Sparks, Rachel, Ourselin, Sebastien, Clarkson, Matthew J., Duncan, John S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Digital Health
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521800/
https://www.ncbi.nlm.nih.gov/pubmed/34713078
http://dx.doi.org/10.3389/fdgth.2021.559103

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8521800/
https://www.ncbi.nlm.nih.gov/pubmed/34713078
http://dx.doi.org/10.3389/fdgth.2021.559103

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