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-Reference-Cited by-同舟云学术

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

Published:2024-03-18 Issue: Volume: Page:
ISSN:0179-7158
Container-title:Strahlentherapie und Onkologie
language:en
Short-container-title:Strahlenther Onkol

Author:

Kong Yan,Su Mingming,Zhu Yan,Li Xuan,Zhang Jinmeng,Gu Wenchao,Yang Fei,Zhou Jialiang,Ni Jianjiao,Yang Xi,Zhu Zhengfei,Huang Jianfeng

Funder

Translational Medicine Project of Wuxi Commission of Health

Top Talent Support Program for young and middle-aged people of Wuxi Health Committee

Wuxi Translational Medicine Research Institute

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00066-024-02221-x.pdf

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