Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?-Reference-Cited by-同舟云学术

Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?

Published:2021-03 Issue:3 Volume:13 Page:1327-1337
ISSN:2072-1439
Container-title:Journal of Thoracic Disease
language:
Short-container-title:J Thorac Dis

Author:

Wang Xiang,Chen Kaili,Wang Wei,Li Qingchu,Liu Kai,Li Qianyun,Cui Xing,Tu Wenting,Sun Hongbiao,Xu Shaochun,Zhang Rongguo,Xiao Yi,Fan Li,Liu Shiyuan

Publisher

AME Publishing Company

Subject

Pulmonary and Respiratory Medicine

Link

https://jtd.amegroups.com/article/download/49394/pdf

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