Your browser doesn't support javascript.
loading
Computed tomography-based COVID-19 triage through a deep neural network using mask-weighted global average pooling.
Zhang, Hong-Tao; Sun, Ze-Yu; Zhou, Juan; Gao, Shen; Dong, Jing-Hui; Liu, Yuan; Bai, Xu; Ma, Jin-Lin; Li, Ming; Li, Guang; Cai, Jian-Ming; Sheng, Fu-Geng.
Afiliación
  • Zhang HT; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Sun ZY; Algorithm Center, Keya Medical Technology Co., Ltd, Shenzhen, China.
  • Zhou J; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Gao S; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Dong JH; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Liu Y; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Bai X; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Ma JL; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Li M; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Li G; Algorithm Center, Keya Medical Technology Co., Ltd, Shenzhen, China.
  • Cai JM; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
  • Sheng FG; Department of Radiology, the Fifth Medical Center of Chinese PLA General Hospital, Beijing, China.
Front Cell Infect Microbiol ; 13: 1116285, 2023.
Article en En | MEDLINE | ID: mdl-36936770
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía / Aprendizaje Profundo / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Front Cell Infect Microbiol Año: 2023 Tipo del documento: Article País de afiliación: China
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Neumonía / Aprendizaje Profundo / COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies Límite: Humans Idioma: En Revista: Front Cell Infect Microbiol Año: 2023 Tipo del documento: Article País de afiliación: China