Decrypting Cryptogenic Epilepsy: Machine Learning Methods for Detecting Cortical Malformations

Ahmed, Bilal.
2017-04-19T18:05:32.987Z

Abstract: Epilepsy is a common neurological disorder, affecting approximately 1% of the world's population. Uncontrolled epilepsy can have harmful effects on the brain and increases the risk of injuries and sudden death. Cortical malformations, particularly focal cortical dysplasia (FCD) is recognized as one of the most common source of treatment resistant epilepsy (TRE). Surgical resection of the... read more

Subjects
Tufts University. Department of Computer Science.
Permanent URL
http://hdl.handle.net/10427/011696
ID: tufts:21169
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