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Proposing a deep learning-based method for improving the diagnostic certainty of pulmonary nodules in CT scan of chest.
Wang, Ya-Wen; Wang, Jian-Wei; Yang, Shou-Xin; Qi, Lin-Lin; Lin, Hao-Liang; Zhou, Zhen; Yu, Yi-Zhou.
Affiliation
  • Wang YW; Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Wang JW; Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China. dr_jianweiwang@163.com.
  • Yang SX; Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Qi LL; Department of Diagnostic Radiology, National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
  • Lin HL; Deepwise AI Lab, Beijing, China.
  • Zhou Z; Deepwise AI Lab, Beijing, China.
  • Yu YZ; Deepwise AI Lab, Beijing, China.
Eur Radiol ; 31(11): 8160-8167, 2021 Nov.
Article in En | MEDLINE | ID: mdl-33956178
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Full text: 1 Database: MEDLINE Main subject: Solitary Pulmonary Nodule / Multiple Pulmonary Nodules / Deep Learning / Lung Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2021 Type: Article Affiliation country: China
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Full text: 1 Database: MEDLINE Main subject: Solitary Pulmonary Nodule / Multiple Pulmonary Nodules / Deep Learning / Lung Neoplasms Type of study: Diagnostic_studies Limits: Humans Language: En Journal: Eur Radiol Journal subject: RADIOLOGIA Year: 2021 Type: Article Affiliation country: China