Automatic differentiation of ruptured and unruptured intracranial aneurysms on computed tomography angiography based on deep learning and radiomics

ConclusionsIn this study, three classification models were established to distinguish ruptured and unruptured aneurysms accurately. The aneurysms segmentation and morphological measurements were performed automatically, which greatly improved the clinical efficiency.Clinical relevance statementOur fully automatic models could rapidly process the CTA data and evaluate the status of aneurysms in one minute.Graphical Abstract
Source: Insights into Imaging - Category: Radiology Source Type: research