Naïve Bayes classifier assisted automated detection of cerebral microbleeds in susceptibility-weighted imaging brain images
Tayyab Ateeq,
Zaid Bin Faheem,
Mohamed Ghoneimy
et al.
Abstract:Cerebral microbleeds (CMBs) in the brain are the essential indicators of critical brain disorders such as dementia and ischemic stroke. Generally, CMBs are detected manually by experts, which is an exhaustive task with limited productivity. Since CMBs have complex morphological nature, manual detection is prone to errors. This paper presents a machine learning-based automated CMB detection technique in the brain susceptibility-weighted imaging (SWI) scans based on statistical feature extraction and classificat… Show more
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