Automating Cardiac Disease Detection

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Automating Cardiac Disease Detection

Afshin, Mariam and Ben Ayed, Ismail and Punithakumar, Kumaradevan and Law, Max and Islam, Ali and Goela, Aashish and Peters, Terry and Li, Shuo

Substance ÉTS 2017

Abstract : Automating the detection and localization of segmental (regional) left ventricle (LV) abnormalities in magnetic resonance imaging (MRI) is challenging, with much room for improvements in regard to accuracy. The purpose of the study is to investigate a real-time łdots

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