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Deep Learning Analysis Using 18F-FDG PET/CT to Predict Occult Lymph Node Metastasis in Patients With Clinical N0 Lung Adenocarcinoma.
Ouyang, Ming-Li; Zheng, Rui-Xuan; Wang, Yi-Ran; Zuo, Zi-Yi; Gu, Liu-Dan; Tian, Yu-Qian; Wei, Yu-Guo; Huang, Xiao-Ying; Tang, Kun; Wang, Liang-Xing.
Afiliação
  • Ouyang ML; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zheng RX; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wang YR; Department of Medical Engineering, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Zuo ZY; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Gu LD; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Tian YQ; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wei YG; Precision Health Institution, General Electric (GE) Healthcare, Hangzhou, China.
  • Huang XY; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Tang K; Department of Nuclear Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
  • Wang LX; Key Laboratory of Heart and Lung, Division of Pulmonary Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
Front Oncol ; 12: 915871, 2022.
Article em En | MEDLINE | ID: mdl-35875089
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Oncol Ano de publicação: 2022 Tipo de documento: Article País de afiliação: China