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Evolving the pulmonary nodules diagnosis from classical approaches to deep learning-aided decision support: three decades' development course and future prospect.
Liu, Bo; Chi, Wenhao; Li, Xinran; Li, Peng; Liang, Wenhua; Liu, Haiping; Wang, Wei; He, Jianxing.
Afiliação
  • Liu B; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China. bliu@amss.ac.cn.
  • Chi W; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
  • Li X; University of Chinese Academy of Sciences, Beijing, China.
  • Li P; Department of Mathematics, University of Wisconsin-Madison, Madison, WI, 53706, USA.
  • Liang W; Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing, China.
  • Liu H; Department of Thoracic Surgery and Oncology, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
  • Wang W; China State Key Laboratory of Respiratory Disease, Guangzhou, China.
  • He J; PET/CT Center, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, China.
J Cancer Res Clin Oncol ; 146(1): 153-185, 2020 Jan.
Article em En | MEDLINE | ID: mdl-31786740
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulos Pulmonares Múltiplos / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Nódulos Pulmonares Múltiplos / Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Diagnostic_studies / Prognostic_studies / Screening_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article