Convolutional neural networks to identify malformations of cortical development: A feasibility study.

Journal: Seizure
Published Date:

Abstract

OBJECTIVE: To develop and test a deep learning model to automatically detect malformations of cortical development (MCD).

Authors

  • Iván Sánchez Fernández
    1 Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
  • Edward Yang
    Boston Children's Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Marta Amengual-Gual
    Boston Children's Hospital, Harvard Medical School, Boston, MA, United States of America.
  • Cristina Barcia Aguilar
    Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA USA; Department of Child Neurology, Hospital Universitario La Paz, Universidad Autónoma de Madrid, Madrid, Spain.
  • Paola Calvachi Prieto
    Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA USA.
  • Jurriaan M Peters
    Boston Children's Hospital and Harvard Medical School, Boston, Massachusetts 02115, USA.