Machine learning models based on CT radiomics can effectively predict invasiveness of pulmonary pure ground-glass nodules

Machine learning models based on CT radiomics can effectively predict invasiveness of pulmonary pure ground-glass nodules

Na ZHANG, Jing DU, Ziquan GUO, Zhifeng WU

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Journal of Molecular Imaging ›› 2025, Vol. 48 ›› Issue (5) : 614-619. DOI: 10.12122/j.issn.1674-4500.2025.05.13

Machine learning models based on CT radiomics can effectively predict invasiveness of pulmonary pure ground-glass nodules

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{{article.zuoZheEn_L}}. {{article.title_en}}. {{journal.qiKanMingCheng_EN}}. 2025, 48(5): 614-619 https://doi.org/10.12122/j.issn.1674-4500.2025.05.13

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