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Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?
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@article{{JTD}{49394}, author = {Wang, X., Chen, K., Wang, W., Li, Q., Liu, K., Li, Q., Cui, X., Tu, W., Sun, H., Xu, S., Zhang, R., Xiao, Y., Fan, L., Liu, S.}, title = {Can peritumoral regions increase the efficiency of machine-learning prediction of pathological invasiveness in lung adenocarcinoma manifesting as ground-glass nodules?}, journal = {Journal of Thoracic Disease}, volume = {13}, number = {3}, year = {2021}, url = {https://jtd.amegroups.org/article/view/49394} }