Deep neural network‐based computer‐assisted detection of cerebral aneurysms in MR angiography

• Published in: Journal of magnetic resonance imaging Vol. 47; no. 4; pp. 948 - 953
• Main Authors: Nakao, Takahiro, Hanaoka, Shouhei, Nomura, Yukihiro, Sato, Issei, Nemoto, Mitsutaka, Miki, Soichiro, Maeda, Eriko, Yoshikawa, Takeharu, Hayashi, Naoto, Abe, Osamu
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.04.2018
• Subjects: Aneurysm; Aneurysms; Angiography; Artificial neural networks; Brain; cerebral aneurysm; Cerebral Angiography - methods; computer‐assisted detection; convolutional neural network; Female; Field strength; Humans; Image Interpretation, Computer-Assisted - methods; Image Processing, Computer-Assisted; Imaging, Three-Dimensional - methods; Intracranial Aneurysm - diagnostic imaging; Magnetic resonance; Magnetic Resonance Angiography - methods; Magnetic resonance imaging; Male; Medical imaging; Middle Aged; Neural networks; Neuroimaging; Retrospective Studies; Scanners; Sensitivity and Specificity; Statistical analysis; Statistical tests; Training; computer-assisted detection; cerebral aneurysm; convolutional neural network

Background The usefulness of computer‐assisted detection (CAD) for detecting cerebral aneurysms has been reported; therefore, the improved performance of CAD will help to detect cerebral aneurysms. Purpose To develop a CAD system for intracranial aneurysms on unenhanced magnetic resonance angiograph...