Abstract
Epilepsy is defined as a disorder of the brain characterized by an enduring predisposition to epileptic seizures. It is a heterogeneous condition characterized by multiple seizure types and syndromes, numerous etiologies, and variable prognoses. Neuroimaging plays a crucial role in the evaluation of epilepsy, with magnetic resonance imaging being the best imaging modality to diagnose epileptogenic lesions. In recent years, Machine Learning has proved to be useful in epilepsy to enhance diagnosis and treatment. Aim of this review is to describe the most recent advanced of Machine Learning in Epilepsy.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Journal of Medical Imaging and Interventional Radiology
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
