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CARes-UNet: Content-aware residual UNet for lesion segmentation of COVID-19 from chest CT images.
Xu, Xinhua; Wen, Yuhang; Zhao, Lu; Zhang, Yi; Zhao, Youjun; Tang, Zixuan; Yang, Ziduo; Chen, Calvin Yu-Chian.
Afiliação
  • Xu X; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
  • Wen Y; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
  • Zhao L; Department of Clinical Laboratory, The Sixth Affiliated Hospital, Sun Yat-sen University, Guangzhou, China.
  • Zhang Y; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
  • Zhao Y; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
  • Tang Z; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
  • Yang Z; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
  • Chen CY; Artificial Intelligence Medical Center, School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China.
Med Phys ; 48(11): 7127-7140, 2021 Nov.
Article em En | MEDLINE | ID: mdl-34528263
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Pandemias / COVID-19 Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article