Cortical feature analysis and machine learning improves detection of "MRI-negative" focal cortical dysplasia

Epilepsy and Behavior

Volumn 48, Issue , 2015, Pages 21-28

  Ahmed, Bilal ^a   Brodley, Carla E ^a   Blackmon, Karen E ^b   Kuzniecky, Ruben ^b   Barash, Gilad ^a   Carlson, Chad ^b   Quinn, Brian T ^b   Doyle, Werner ^b   French, Jacqueline ^b   Devinsky, Orrin ^b   Thesen, Thomas ^b  

^a Tufts University   (United States)

^b NEW YORK UNIVERSITY   (United States)

Author keywords

Epilepsy; Focal cortical dysplasia; Machine learning; Structural MRI

Indexed keywords

ADOLESCENT; ADULT; AGED; ANATOMICAL VARIATION; ARTICLE; AUTOMATION; BRAIN REGION; CLINICAL ARTICLE; CONTROLLED STUDY; CORTICAL DYSPLASIA; DIAGNOSTIC ACCURACY; FEMALE; HISTOPATHOLOGY; HUMAN; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE QUALITY; LEARNING ALGORITHM; MACHINE LEARNING; MALE; MORPHOMETRICS; NEUROIMAGING; NUCLEAR MAGNETIC RESONANCE IMAGING; SENSITIVITY ANALYSIS; CHILD; EPILEPSY; HEAD; PATHOLOGY; PRESCHOOL CHILD; PROCEDURES; YOUNG ADULT;

ADULT; CHILD; CHILD, PRESCHOOL; EPILEPSY; FEMALE; HEAD; HUMANS; MACHINE LEARNING; MAGNETIC RESONANCE IMAGING; MALE; MALFORMATIONS OF CORTICAL DEVELOPMENT; YOUNG ADULT;

EID: 84930618317     PISSN: 15255050     EISSN: 15255069     Source Type: Journal    
DOI: 10.1016/j.yebeh.2015.04.055     Document Type: Article

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