Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches

Abstract

We developed highly accurate ML models based on radiomic and epidemiological features from four international lung cancer screening studies that may be suitable for assessing indeterminate screen-detected pulmonary nodules for risk of malignancy.