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).

Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call