Automatic Detection of Focal Cortical Dysplasia Type II in MRI: Is the Application of Surface-Based Morphometry and Machine Learning Promising?

Automatic Detection of Focal Cortical Dysplasia Type II in MRI: Is the Application of Surface-Based Morphometry and Machine Learning Promising?

Background and ObjectivesFocal cortical dysplasia (FCD) is a type of malformations of cortical development and one of the leading causes of drug-resistant epilepsy. Postoperative results improve the diagnosis of lesions on structural MRIs. Advances in quantitative algorithms have increased the ident...

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Bibliographic Details
Main Authors: Zohreh Ganji, Mohsen Aghaee Hakak, Seyed Amir Zamanpour, Hoda Zare
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Human Neuroscience
Subjects:
epilepsy
focal cortical dysplasia
image processing
machine learning
computer-aided diagnosis
Online Access:https://www.frontiersin.org/articles/10.3389/fnhum.2021.608285/full

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https://www.frontiersin.org/articles/10.3389/fnhum.2021.608285/full

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