Towards computer-aided severity assessment via deep neural networks for geographic and opacity extent scoring of SARS-CoV-2 chest X-rays.

Wong, A; Lin, Z Q; Wang, L; Chung, A G; Shen, B; Abbasi, A; Hoshmand-Kochi, M; Duong, T Q

Wong, A; Lin, Z Q; Wang, L; Chung, A G; Shen, B; Abbasi, A; Hoshmand-Kochi, M; Duong, T Q.

Afiliação

Wong A; Systems Design Engineering, University of Waterloo, Waterloo, Canada. a28wong@uwaterloo.ca.
Lin ZQ; DarwinAI Corp., Waterloo, Canada. a28wong@uwaterloo.ca.
Wang L; Systems Design Engineering, University of Waterloo, Waterloo, Canada. zhong.q.lin@uwaterloo.ca.
Chung AG; DarwinAI Corp., Waterloo, Canada. zhong.q.lin@uwaterloo.ca.
Shen B; Systems Design Engineering, University of Waterloo, Waterloo, Canada.
Abbasi A; DarwinAI Corp., Waterloo, Canada.
Hoshmand-Kochi M; DarwinAI Corp., Waterloo, Canada.
Duong TQ; Department of Radiology, Stony Brook School of Medicine, Stony Brook, NY, USA.

Sci Rep ; 11(1): 9315, 2021 04 29.

Article em En | MEDLINE | ID: mdl-33927239

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá

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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Canadá