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Predicting Malignancy and Invasiveness of Pulmonary Subsolid Nodules on CT Images Using Deep Learning.
Shen, Tianle; Hou, Runping; Ye, Xiaodan; Li, Xiaoyang; Xiong, Junfeng; Zhang, Qin; Zhang, Chenchen; Cai, Xuwei; Yu, Wen; Zhao, Jun; Fu, Xiaolong.
Afiliação
  • Shen T; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Hou R; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Ye X; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Li X; Department of Radiology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Xiong J; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang Q; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Zhang C; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Cai X; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Yu W; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Zhao J; Department of Radiation Oncology, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, China.
  • Fu X; School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai, China.
Front Oncol ; 11: 700158, 2021.
Article em En | MEDLINE | ID: mdl-34381723

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article