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Quantitative Radiological Features and Deep Learning for the Non-Invasive Evaluation of Programmed Death Ligand 1 Expression Levels in Gastric Cancer Patients: A Digital Biopsy Study.
Xie, Wentao; Jiang, Zinian; Zhou, Xiaoming; Zhang, Xianxiang; Zhang, Maoshen; Liu, Ruiqing; Zheng, Longbo; Xin, Fangjie; Lu, Yun; Wang, Dongsheng.
Afiliação
  • Xie W; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Jiang Z; Qingdao Medical Colledge, Qingdao University, 266071, Qingdao, Shandong, China.
  • Zhou X; Department of Radiology, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Zhang X; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Zhang M; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Liu R; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Zheng L; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Xin F; Department of Pathology, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China.
  • Lu Y; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China; Qingdao Medical Colledge, Qingdao University, 266071, Qingdao, Shandong, China; Shandong Key Laboratory of Digital Medicine and Computer Assisted Surgery, 266000, Qingdao, Shandon
  • Wang D; Department of Gastrointestinal Surgery, The Affiliated Hospital of Qingdao University, 266000, Qingdao, Shandong, China; Qingdao Medical Colledge, Qingdao University, 266071, Qingdao, Shandong, China. Electronic address: wangdongsheng@qdu.edu.cn.
Acad Radiol ; 30(7): 1317-1328, 2023 Jul.
Article em En | MEDLINE | ID: mdl-36369191

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Aprendizado Profundo Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Revista: Acad Radiol Assunto da revista: RADIOLOGIA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China