Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease

Deep learning based on susceptibility-weighted MR sequence for detecting cerebral microbleeds and classifying cerebral small vessel disease

Abstract Background Cerebral microbleeds (CMBs) serve as neuroimaging biomarkers to assess risk of intracerebral hemorrhage and diagnose cerebral small vessel disease (CSVD). Therefore, detecting CMBs can evaluate the risk of intracerebral hemorrhage and use its presence to support CSVD classificati...

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Bibliographic Details
Main Authors: Ruizhen Wu, Huaqing Liu, Hao Li, Lifen Chen, Lei Wei, Xuehong Huang, Xu Liu, Xuejiao Men, Xidan Li, Lanqing Han, Zhengqi Lu, Bing Qin
Format: Article
Language:English
Published: BMC 2023-10-01
Series:BioMedical Engineering OnLine
Subjects:
Cerebral small vessel disease
Cerebral microbleeds
Susceptibility-weighted MR Sequence
Deep learning
Online Access:https://doi.org/10.1186/s12938-023-01164-1

Internet

https://doi.org/10.1186/s12938-023-01164-1

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