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Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.
Zhang, Chao; Sun, Xing; Dang, Kang; Li, Ke; Guo, Xiao-Wei; Chang, Jia; Yu, Zong-Qiao; Huang, Fei-Yue; Wu, Yun-Sheng; Liang, Zhu; Liu, Zai-Yi; Zhang, Xue-Gong; Gao, Xing-Lin; Huang, Shao-Hong; Qin, Jie; Feng, Wei-Neng; Zhou, Tao; Zhang, Yan-Bin; Fang, Wei-Jun; Zhao, Ming-Fang; Yang, Xue-Ning; Zhou, Qing; Wu, Yi-Long; Zhong, Wen-Zhao.
Afiliação
  • Zhang C; Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
  • Sun X; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Dang K; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Li K; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Guo XW; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Chang J; Tencent, Shenzhen, People's Republic of China.
  • Yu ZQ; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Huang FY; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Wu YS; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Liang Z; Tencent Youtu Lab, Shanghai, People's Republic of China.
  • Liu ZY; Department of Radiology, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
  • Zhang XG; MOR Key Laboratory of Bioinformatics, Bioinformatics Division and Center for Synthetic & System Biology, Department of Automation, Tsinghua University, Beijing, People's Republic of China.
  • Gao XL; Department of Respiration, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
  • Huang SH; The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Qin J; The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Feng WN; First People's Hospital of Foshan, Foshan, People's Republic of China.
  • Zhou T; First People's Hospital of Foshan, Foshan, People's Republic of China.
  • Zhang YB; Guangzhou Chest Hospital, Guangzhou, People's Republic of China.
  • Fang WJ; Guangzhou Chest Hospital, Guangzhou, People's Republic of China.
  • Zhao MF; Department of Medical Oncology, The First Hospital of China Medical University, Shenyang, People's Republic of China.
  • Yang XN; Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
  • Zhou Q; Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China.
  • Wu YL; Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China 13609777314@163.com syylwu@live.cn.
  • Zhong WZ; Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China 13609777314@163.com syylwu@live.cn.
Oncologist ; 24(9): 1159-1165, 2019 09.
Article em En | MEDLINE | ID: mdl-30996009
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Redes Neurais de Computação / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Interpretação de Imagem Radiográfica Assistida por Computador / Redes Neurais de Computação / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Guideline / Observational_studies / Prognostic_studies Limite: Female / Humans / Male / Middle aged Idioma: En Ano de publicação: 2019 Tipo de documento: Article