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Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed Tomography.

Wenjun Huang,Hanxiao Zhang,Yanming Ge,Shaofeng Duan,Yanqing Ma,Xiaoling Wang,Xiuxiu Zhou,Taohu Zhou,Wenting Tu, Yun Wang,Shiyuan Liu,Peng Dong,Li Fan

Journal of thoracic imaging（2023）

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Abstract
The NNet is a promising machine learning method to predict the VDT of GGNs, which would assist in the personalized follow-up and treatment strategies for GGNs reducing unnecessary follow-up and radiation dose.
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Key words
volume doubling time prediction,tomography,machine learning methods,radiomics-based,ground-glass
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