A 3D Multi-task Regression and Ordinal Regression Deep Neural Network for Collateral Imaging from Dynamic Susceptibility Contrast-Enhanced MR perfusion in Acute Ischemic Stroke.

Le, Hoang Long; Roh, Hong Gee; Kim, Hyun Jeong; Kwak, Jin Tae

Le, Hoang Long; Roh, Hong Gee; Kim, Hyun Jeong; Kwak, Jin Tae.

Afiliação

Le HL; Department of Computer Science and Engineering, Sejong University, Seoul 05006, Korea.
Roh HG; Department of Radiology, Konkuk University Medical Center, Konkuk University School of Medicine, Seoul 05030, Korea.
Kim HJ; Department of Radiology, Daejeon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Daejeon 34943, Korea.
Kwak JT; School of Electrical Engineering, Korea University, Seoul 02841, Korea. Electronic address: jkwak@korea.ac.kr.

Comput Methods Programs Biomed ; 225: 107071, 2022 Oct.

Article em En | MEDLINE | ID: mdl-35994873

Assuntos

AVC Isquêmico; Acidente Vascular Cerebral; Humanos; Angiografia por Ressonância Magnética/métodos; Redes Neurais de Computação; Perfusão; Estudos Prospectivos; Acidente Vascular Cerebral/diagnóstico por imagem

Palavras-chave

collateral imaging; multi-task learning; ordinal regression; stroke

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Acidente Vascular Cerebral / AVC Isquêmico Tipo de estudo: Guideline / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Comput Methods Programs Biomed Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2022 Tipo de documento: Article

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