Presenter: Irena Galić
Title: Chest Image Analysis Methods for COVID19 Disease Severity Assessment
Duration: 15 min.
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.
Biography: Irena Galić is an Associate Professor employed at the Faculty of Electrical Engineering, Computer Science and Information Technology Osijek (FERIT). She is a Vice-Dean for Science and Postgraduate Studies at FERIT and an associate at the Department of Communication Systems at the Croatian Academy of Engineering. Irena Galić performs research in signal processing and analysis, specifically image processing and analysis, computer vision and 3D computer graphics.
Assoc. Prof. Irena Galić, Ph.D.
Vice-Dean for Science and Postgraduate Studies
Faculty of Electrical Engineering, Computer Science and Information Technology
Josip Juraj Strossmayer University of Osijek, Croatia
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