Radiomics analysis to predict pulmonary nodule malignancy using machine learning approaches.
Matthew T WarkentinHamad Al-SawaiheyStephen LamGeoffrey LiuBrenda DiergaardeJian-Min YuanDavid O WilsonSukhinder Atkar-KhattraBenjamin GrantYonathan BrhaneElham Khodayari-MoezKiera R MurisonMartin C TammemagiKieran R CampbellRayjean J HungPublished in: Thorax (2024)
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.