COVID-Net CXR-2: An Enhanced Deep Convolutional Neural Network Design for Detection of COVID-19 Cases From Chest X-ray Images.

Pavlova, Maya; Terhljan, Naomi; Chung, Audrey G; Zhao, Andy; Surana, Siddharth; Aboutalebi, Hossein; Gunraj, Hayden; Sabri, Ali; Alaref, Amer; Wong, Alexander

Pavlova, Maya; Terhljan, Naomi; Chung, Audrey G; Zhao, Andy; Surana, Siddharth; Aboutalebi, Hossein; Gunraj, Hayden; Sabri, Ali; Alaref, Amer; Wong, Alexander.

Afiliación

Pavlova M; Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Terhljan N; Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Chung AG; Waterloo AI Institute, University of Waterloo, Waterloo, ON, Canada.
Zhao A; DarwinAI Corp., Waterloo, ON, Canada.
Surana S; Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Aboutalebi H; Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
Gunraj H; Waterloo AI Institute, University of Waterloo, Waterloo, ON, Canada.
Sabri A; Cheriton School of Computer Science, University of Waterloo, Waterloo, ON, Canada.
Alaref A; Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada.
Wong A; Department of Radiology, McMaster University, Hamilton, ON, Canada.

Front Med (Lausanne) ; 9: 861680, 2022.

Article en En | MEDLINE | ID: mdl-35755067

Palabras clave

COVID-19; chest X-ray; computer aided diagnosis; computer vision; deep neural networks

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Diagnostic_studies / Prognostic_studies Idioma: En Revista: Front Med (Lausanne) Año: 2022 Tipo del documento: Article País de afiliación: Canadá Pais de publicación: Suiza

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