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The value of predicting the invasiveness and degree of infiltration of pulmonary ground-glass nodules based on computed tomography features and enhanced quantitative analysis
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@article{{QIMS}{128002}, author = {Xie, B., Wang, R., Fu, K., Wang, Q., Liu, Z., Peng, W.}, title = {The value of predicting the invasiveness and degree of infiltration of pulmonary ground-glass nodules based on computed tomography features and enhanced quantitative analysis}, journal = {Quantitative Imaging in Medicine and Surgery}, volume = {14}, number = {9}, year = {2024}, url = {https://qims.amegroups.org/article/view/128002} }