Feasibility of Differential Dose—Volume Histogram Features in Multivariate Prediction Model for Radiation Pneumonitis Occurrence

Feasibility of Differential Dose—Volume Histogram Features in Multivariate Prediction Model for Radiation Pneumonitis Occurrence

The purpose of this study is to introduce differential dose–volume histogram (dDVH) features into machine learning for radiation pneumonitis (RP) prediction and to demonstrate the predictive performance of the developed model based on integrated cumulative dose–volume histogram (cDVH) and dDVH featu...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Yoshiyuki Katsuta, Noriyuki Kadoya, Yuto Sugai, Yu Katagiri, Takaya Yamamoto, Kazuya Takeda, Shohei Tanaka, Keiichi Jingu
स्वरूप: लेख
भाषा:English
प्रकाशित: MDPI AG 2022-05-01
श्रृंखला:Diagnostics
विषय:
radiotherapy
NSCLC
radiation pneumonitis
machine learning
artificial intelligence
ऑनलाइन पहुंच:https://www.mdpi.com/2075-4418/12/6/1354

इंटरनेट

https://www.mdpi.com/2075-4418/12/6/1354

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