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Use of radiomics based on 18F-FDG PET/CT and machine learning methods to aid clinical decision-making in the classification of solitary pulmonary lesions: an innovative approach.
Zhou, Yi; Ma, Xue-Lei; Zhang, Ting; Wang, Jian; Zhang, Tao; Tian, Rong.
Afiliação
  • Zhou Y; Department of Nuclear Medicine, West China Hospital, Sichuan University, 37# GuoXueLane, Chengdu, 610041, China.
  • Ma XL; Department of Biotherapy, Cancer Center, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, 37# GuoXueLane, Chengdu, 610041, China.
  • Zhang T; West China School of Medicine, West China Hospital, Sichuan University, 37# GuoXueLane, Chengdu, 610041, China.
  • Wang J; School of Computer Science, Nanjing University of Science and Technology, No. 200, Xiaolinwei Road, Nanjing, 210094, China.
  • Zhang T; West China School of Medicine, West China Hospital, Sichuan University, 37# GuoXueLane, Chengdu, 610041, China.
  • Tian R; Department of Nuclear Medicine, West China Hospital, Sichuan University, 37# GuoXueLane, Chengdu, 610041, China. rongtiannuclear@126.com.
Eur J Nucl Med Mol Imaging ; 48(9): 2904-2913, 2021 08.
Article em En | MEDLINE | ID: mdl-33547553
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fluordesoxiglucose F18 / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Fluordesoxiglucose F18 / Tomografia por Emissão de Pósitrons combinada à Tomografia Computadorizada Idioma: En Ano de publicação: 2021 Tipo de documento: Article