Automatic detection of intracranial aneurysms in 3D-DSA based on a Bayesian optimized filter

Automatic detection of intracranial aneurysms in 3D-DSA based on a Bayesian optimized filter

Abstract Background Intracranial aneurysm is a common type of cerebrovascular disease with a risk of devastating subarachnoid hemorrhage if it is ruptured. Accurate computer-aided detection of aneurysms can help doctors improve the diagnostic accuracy, and it is very helpful in reducing the risk of...

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Bibliographic Details
Main Authors: Tao Hu, Heng Yang, Wei Ni, Yu Lei, Zhuoyun Jiang, Keke Shi, Jinhua Yu, Yuxiang Gu, Yuanyuan Wang
Format: Article
Language:English
Published: BMC 2020-09-01
Series:BioMedical Engineering OnLine
Subjects:
Aneurysm detection
Multiscale filter
Bayesian optimization
Adaptive thresholding
Online Access:http://link.springer.com/article/10.1186/s12938-020-00817-9

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http://link.springer.com/article/10.1186/s12938-020-00817-9

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