Ischemic stroke outcome prediction with diversity features from whole brain tissue using deep learning network
Yingjian Yang,
Yingwei Guo
Abstract:ObjectivesThis study proposed an outcome prediction method to improve the accuracy and efficacy of ischemic stroke outcome prediction based on the diversity of whole brain features, without using basic information about patients and image features in lesions.DesignIn this study, we directly extracted dynamic radiomics features (DRFs) from dynamic susceptibility contrast perfusion-weighted imaging (DSC-PWI) and further extracted static radiomics features (SRFs) and static encoding features (SEFs) from the minim… Show more
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