A Convolutional Neural Network for Automatic Characterization of Plaque Composition in Carotid Ultrasound.
IEEE Journal of Biomedical and Health Informatics(2017)
摘要
Characterization of carotid plaque composition, more specifically the amount of lipid core, fibrous tissue, and calcified tissue, is an important task for the identification of plaques that are prone to rupture, and thus for early risk estimation of cardiovascular and cerebrovascular events. Due to its low costs and wide availability, carotid ultrasound has the potential to become the modality of ...
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关键词
Ultrasonic imaging,Machine learning,Imaging,Feature extraction,Lipidomics,Atherosclerosis,Neural networks
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