Comparison of convolutional neural networks for detecting large vessel occlusion on computed tomography angiography.

Remedios, Lucas W; Lingam, Sneha; Remedios, Samuel W; Gao, Riqiang; Clark, Stephen W; Davis, Larry T; Landman, Bennett A

Remedios, Lucas W; Lingam, Sneha; Remedios, Samuel W; Gao, Riqiang; Clark, Stephen W; Davis, Larry T; Landman, Bennett A.

Afiliação

Remedios LW; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
Lingam S; School of Medicine, Vanderbilt University, Nashville, TN, USA.
Remedios SW; Department of Computer Science, Johns Hopkins University, Baltimore, MD, USA.
Gao R; Department of Radiology and Imaging Sciences, National Institutes of Health, Bethesda, MD, USA.
Clark SW; Department of Computer Science, Vanderbilt University, Nashville, TN, USA.
Davis LT; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.
Landman BA; Department of Neurology, Vanderbilt University Medical Center, Nashville, TN, USA.

Med Phys ; 48(10): 6060-6068, 2021 Oct.

Article em En | MEDLINE | ID: mdl-34287944

Assuntos

Isquemia Encefálica; Acidente Vascular Cerebral; Inteligência Artificial; Angiografia por Tomografia Computadorizada; Humanos; Redes Neurais de Computação; Acidente Vascular Cerebral/diagnóstico por imagem

Palavras-chave

Computed Tomography Angiography (CTA); convolutional neural network; deep learning; image classification; large vessel occlusion

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Isquemia Encefálica / Acidente Vascular Cerebral Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Med Phys Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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