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Medical Image Processing: Chest X-Ray (COVID-19)

Hazlin, Mohamed Afiq (2020) Medical Image Processing: Chest X-Ray (COVID-19). IRC, Universiti Teknologi PETRONAS. (Submitted)

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Abstract

The latest 2019 coronavirus (COVID-2019), which first appeared in Wuhan City, China in December, has spread rapidly and become an outbreak throughout the world. It has had a devastating effect on both everyday life, public health and, consequently, the global economy. In order to avoid the further spread of this disease and to rapidly treat infected patients, it is very important to identify positive cases as quickly as possible. As there are no specific automated toolkits available, the need for auxiliary diagnostic tools has increased. Recent experiment results obtained using radiological imaging techniques indicate that such images contain substantial COVID- 19 virus detail. The use of advanced artificial intelligence (AI) methods, including radiological imaging (x-ray), may be useful for the precise diagnosis of this disease and may also be helpful in overcoming the shortage of skilled doctors in remote villages. An alternate model for automated COVID-19 detection using raw chest X�ray images will be provided during this study.

Item Type: Final Year Project
Academic Subject : Academic Department - Information Communication Technology
Subject: Q Science > Q Science (General)
Divisions: Sciences and Information Technology > Computer and Information Sciences
Depositing User: Ahmad Suhairi Mohamed Lazim
Date Deposited: 23 Sep 2021 23:44
Last Modified: 23 Sep 2021 23:44
URI: http://utpedia.utp.edu.my/id/eprint/21704

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