Deep learning for automated cerebral aneurysm detection on computed tomography images

• Published in: International journal for computer assisted radiology and surgery Vol. 15; no. 4; pp. 715 - 723
• Main Authors: Dai, Xilei, Huang, Lixiang, Qian, Yi, Xia, Shuang, Chong, Winston, Liu, Junjie, Di Ieva, Antonio, Hou, Xiaoxi, Ou, Chubin
• Format: Journal Article
• Language: English
• Published: Cham Springer International Publishing 01.04.2020; Springer Nature B.V
• Subjects: Aneurysms; Angiography; Automation; Computed tomography; Computer Imaging; Computer Science; Computing time; Deep learning; Health care facilities; Health Informatics; Image detection; Imaging; Machine learning; Medical imaging; Medicine; Medicine & Public Health; Original Article; Pattern Recognition and Graphics; Radiology; Sensitivity; Surgery; Two dimensional models; Vision; Deep learning; CTA; Aneurysm detection; CNN

Purpose Cerebrovascular aneurysms are being observed with rapidly increasing incidence. Therefore, tools are needed for accurate and efficient detection of aneurysms. We used deep learning techniques with CT angiography acquired from multiple medical centers and different machines to develop and eva...