Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT Angiography
Yi Yang, Chang Zhao, Xin Nie, Jun Wu, Jingang Chen, W Liu, Hongwei He, Shuo Wang, Chengcheng Zhu, Qingyuan Liu
Abstract
An integrated deep learning model was developed and validated for the detection, segmentation, and morphologic measurement of intracranial aneurysms on head CT angiography images.
Topics & Concepts
MedicineIntraclass correlationRadiologyAngiographyArtificial intelligenceSegmentationDeep learningMulticenter studySørensen–Dice coefficientMedical physicsSurgeryComputer scienceImage segmentationClinical psychologyRandomized controlled trialPsychometricsIntracranial Aneurysms: Treatment and ComplicationsCerebrovascular and Carotid Artery DiseasesVascular Malformations Diagnosis and Treatment