Combining handcrafted radiomics features and deep learning features within different regions of interest in planning CT images for the prediction of symptomatic radiation pneumonitis in locally advanced non-small cell lung cancer

Radiation Oncology · Published 2026-07-31 · DOI 10.1186/s13014-026-02896-9

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Authors (11)

Xuan Li, Hao Hang, Yan Kong, Jinmeng Zhang, Mingming Su, Zongqiong Sun, Yan Zhu, Fei Yang, Qing Zhao, Jianjiao Ni, Jianfeng Huang

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Year

2026

Citation

Li, X., Hang, H., Kong, Y., et al. (2026). Combining handcrafted radiomics features and deep learning features within different regions of interest in planning CT images for the prediction of symptomatic radiation pneumonitis in locally advanced non-small cell lung cancer. Radiation Oncology. https://doi.org/10.1186/s13014-026-02896-9

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