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Classification of COVID-19 by Compressed Chest CT Image through Deep Learning on a Large Patients Cohort.
Zhu, Ziwei; Xingming, Zhang; Tao, Guihua; Dan, Tingting; Li, Jiao; Chen, Xijie; Li, Yang; Zhou, Zhichao; Zhang, Xiang; Zhou, Jinzhao; Chen, Dongpei; Wen, Hanchun; Cai, Hongmin.
Afiliação
  • Zhu Z; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Xingming Z; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China. cszxm@scut.edu.cn.
  • Tao G; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Dan T; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Li J; Department of Medical Imaging, Collaborative Innovation Center for Cancer Medicine, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510006, China.
  • Chen X; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Li Y; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Zhou Z; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Zhang X; Wuhan Huangpi District Hospital of Traditional Chinese Medicine, 430300, Wuhan, China.
  • Zhou J; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Chen D; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China.
  • Wen H; Department of Critical Care Medicine, The First Affiliated Hospital of Guangxi Medical University, Guangxi, 530021, China.
  • Cai H; School of Computer Science and Engineering, South China University of Technology, Guangzhou, 510600, China. hmcai@scut.edu.cn.
Interdiscip Sci ; 13(1): 73-82, 2021 Mar.
Article em En | MEDLINE | ID: mdl-33565027
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tórax / Tomografia Computadorizada por Raios X / Compressão de Dados / Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Interdiscip Sci Assunto da revista: BIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha
Texto completo
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Tórax / Tomografia Computadorizada por Raios X / Compressão de Dados / Aprendizado Profundo / COVID-19 Tipo de estudo: Diagnostic_studies / Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adolescent / Adult / Aged / Aged80 / Child / Child, preschool / Female / Humans / Infant / Male Idioma: En Revista: Interdiscip Sci Assunto da revista: BIOLOGIA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: China País de publicação: Alemanha