Machine learning principles applied to CT radiomics to predict mucinous pancreatic cysts.
Adam M AweMichael M Vanden HeuvelTianyuan YuanVictoria R RendellMingren ShenAgrima KampaniShanchao LiangDane D MorganEmily R WinslowMeghan G LubnerPublished in: Abdominal radiology (New York) (2021)
Machine learning principles can be applied to PC texture features to create a mucinous phenotype classifier. Model performance did not improve with the combined model. However, specific radiomic, radiologic, and clinical features most predictive in our models can be identified using SHAP analysis.