Machine learning models based on tumoral, 4 mm-peritumoral, and combined radiomic features for evaluating the invasiveness of lung adenocarcinoma manifesting as ground-glass nodules.

Furthermore, during the multi-model comparison process, no formal multiple comparison correction was carried out, and these factors may increase statistical uncertainty; However, it should be pointed out that most pairwise comparisons did not reach statistical significance, and the main research conclusions demonstrated good robustness among different models.

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