Your browser doesn't support javascript.
loading
Performance of a machine learning-based decision model to help clinicians decide the extent of lymphadenectomy (D1 vs. D2) in gastric cancer before surgical resection.
Liu, Chang; Qi, Liang; Feng, Qiu-Xia; Sun, Shu-Wen; Zhang, Yu-Dong; Liu, Xi-Sheng.
Afiliação
  • Liu C; Department of Radiology, TongDe Hospital of ZheJiang Province, No. 234, Gucui Road, Hangzhou, 310012, Zhejiang, China.
  • Qi L; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu, China.
  • Feng QX; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu, China.
  • Sun SW; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu, China.
  • Zhang YD; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu, China. njmu_zyd@163.com.
  • Liu XS; Department of Radiology, The First Affiliated Hospital of Nanjing Medical University, No. 300, Guangzhou Road, Nanjing, 210009, Jiangsu, China. njmu_lxs@163.com.
Abdom Radiol (NY) ; 44(9): 3019-3029, 2019 09.
Article em En | MEDLINE | ID: mdl-31201432

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Interpretação de Imagem Assistida por Computador / Tomada de Decisão Clínica / Excisão de Linfonodo Idioma: En Ano de publicação: 2019 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias Gástricas / Interpretação de Imagem Assistida por Computador / Tomada de Decisão Clínica / Excisão de Linfonodo Idioma: En Ano de publicação: 2019 Tipo de documento: Article