Abstract
This study aimed to establish machine learning model using radiomics features with region of interest (ROI) in treatment planning computed tomography (CT) images to predict symptomatic radiation pneumonitis(RP) (grad≥2) in patients with locally advance non-small cell lung cancer(NSCLC).
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