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Yang Yingjian on Muck Rack

Yang Yingjian

As seen in: Frontiers
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Articles

Radiomics and artificial neural networks modelling for identification of high-risk carotid plaques

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By Pablo M. Blanco, You-Bin Deng, Yang Yingjian
| Frontiers
1. Introduction Many recent studies have shown that vulnerable plaques are generally associated with a high risk of cerebral infarction, and the identification of vulnerable plaques by assessing plaque components is becoming increasingly crucial (1). Characteristic plaque components, such as intraplaque hemorrhage (IPH) and lipid-rich necrotic core (LRNC), are highly associated with ischemic cerebrovascular events and are usually referred to as SPs (2).
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