Irena Galic

Faculty of Electrical Engineering, Computer Science and Information Technology, Josip Juraj Strossmayer University of Osijek, Croatia

Chest Image Analysis Methods for COVID19 Disease Severity Assessment

Abstract

Multiple clinical studies regarding COVID19 disease indicate that chest imaging may play a vital role in reinforcing the diagnosis and assessing and recognizing complications in disease progression. The development of computer-aided algorithms for imaging analysis based on CT and X-ray chest images automates and reduces the time needed for their inspection. Those methods can provide a categorization of positive and non-positive patients, as well as extraction and analysis of important imaging features regarding COVID-19 disease. There is also a need for the development of the new screening protocols for the healthcare organizations that will allow cheap monitoring and prevention of the intra-hospital spreading of the disease. Therefore, investigation of low-cost portable ultrasound devices for early detection and prevention of intra-hospital transmission of COVID-19 disease and implementation of the software platform for the protocol will be explored as well.

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