A CT-based deep learning model for preoperative prediction of spread through air spaces in clinical stage I lung adenocarcinoma.

Deep learning signature showed an improvement in predictive performance than Model ResNet-50 in validation cohort, but it did not reach statistical significance (0.837 vs. 0.799, P = 0.087).

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