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

Sánchez Fernández, Iván; Yang, Edward; Amengual-Gual, Marta; Barcia Aguilar, Cristina; Calvachi Prieto, Paola; Peters, Jurriaan M

Sánchez Fernández, Iván; Yang, Edward; Amengual-Gual, Marta; Barcia Aguilar, Cristina; Calvachi Prieto, Paola; Peters, Jurriaan M.

Afiliação

Sánchez Fernández I; Boston Medical Center, Boston University School of Medicine, Boston, MA USA. Electronic address: ivs121@mail.harvard.edu.
Yang E; Department of Radiology, Boston Children's Hospital and Harvard Medical School, Boston, MA USA.
Amengual-Gual M; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA USA.
Barcia Aguilar C; 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.
Calvachi Prieto P; Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, Boston, MA USA.
Peters JM; Division of Epilepsy and Clinical Neurophysiology, Department of Neurology, Boston Children's Hospital and Harvard Medical School, Boston, MA USA.

Seizure ; 91: 81-90, 2021 Oct.

Article em En | MEDLINE | ID: mdl-34130195

Assuntos

Aprendizado Profundo; Área Sob a Curva; Estudos de Viabilidade; Humanos; Imageamento por Ressonância Magnética; Redes Neurais de Computação

Palavras-chave

Convolutional neural networks; Deep learning; Magnetic resonance imaging; Pediatric

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Seizure Assunto da revista: NEUROLOGIA Ano de publicação: 2021 Tipo de documento: Article

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