Automatic risk prediction of intracranial aneurysm on CTA image with convolutional neural networks and radiomics analysis

Abstract

Our study indicates that the incorporation of CNN and radiomics analysis can improve the prediction performance, and the selected optimal feature set can provide essential biomarkers for the determination of rupture risk, which is also of great clinical importance for individualized treatment planning and patient care of IA.