Enhancing the prediction of symptomatic radiation pneumonitis for locally advanced non-small-cell lung cancer by combining 3D deep learning-derived imaging features with dose–volume metrics: a two-center study
Titel:
Enhancing the prediction of symptomatic radiation pneumonitis for locally advanced non-small-cell lung cancer by combining 3D deep learning-derived imaging features with dose–volume metrics: a two-center study
Auteur:
Kong, Yan Su, Mingming Zhu, Yan Li, Xuan Zhang, Jinmeng Gu, Wenchao Yang, Fei Zhou, Jialiang Ni, Jianjiao Yang, Xi Zhu, Zhengfei Huang, Jianfeng