Radiomics-based Machine Learning Methods for Volume Doubling Time Prediction of Pulmonary Ground-glass Nodules With Baseline Chest Computed Tomography.
Journal of thoracic imaging(2023)
摘要
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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关键词
volume doubling time prediction,tomography,machine learning methods,radiomics-based,ground-glass
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