Predicting COVID-19 Pneumonia Severity on Chest X-ray With Deep Learning.

Cohen, Joseph Paul; Dao, Lan; Roth, Karsten; Morrison, Paul; Bengio, Yoshua; Abbasi, Almas F; Shen, Beiyi; Mahsa, Hoshmand Kochi; Ghassemi, Marzyeh; Li, Haifang; Duong, Tim Q

Cohen, Joseph Paul; Dao, Lan; Roth, Karsten; Morrison, Paul; Bengio, Yoshua; Abbasi, Almas F; Shen, Beiyi; Mahsa, Hoshmand Kochi; Ghassemi, Marzyeh; Li, Haifang; Duong, Tim Q.

Afiliação

Cohen JP; Department of Computer Science, University of Montreal, Montreal, CAN.
Dao L; Medicine, University of Montreal, Montreal, CAN.
Roth K; Department of Computer Science, Heidelberg University, Heidelberg, DEU.
Morrison P; Department of Mathematics and Computer Science, Fontbonne University, Saint Louis, USA.
Bengio Y; Department of Computer Science, University of Montreal, Montreal, CAN.
Abbasi AF; Department of Radiology, Stony Brook Medicine, Stony Brook, USA.
Shen B; Department of Radiology, Stony Brook Medicine, Stony Brook, USA.
Mahsa HK; Department of Radiology, Stony Brook Medicine, Stony Brook, USA.
Ghassemi M; Department of Computer Science, University of Toronto, Toronto, CAN.
Li H; Department of Radiology, Stony Brook Medicine, Stony Brook, USA.
Duong TQ; Department of Radiology, Stony Brook Medicine, Stony Brook, USA.

Cureus ; 12(7): e9448, 2020 Jul 28.

Article em En | MEDLINE | ID: mdl-32864270

Palavras-chave

chest x-ray; covid-19 pneumonia; deep learning artificial intelligence; severity scoring

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Cureus Ano de publicação: 2020 Tipo de documento: Article País de publicação: Estados Unidos

Texto completo

Adicionar na Minha BVS

Imprimir

XML

PubMed Links

Buscar no Google