Classification of Covid-19 Diseases Through Lung CT-Scan Image Using the ResNet-50 Architecture
| Main Authors: | Kesuma, Lucky Indra, Rudiansyah, Rudiansyah |
|---|---|
| Format: | Article info application/pdf eJournal |
| Bahasa: | eng |
| Terbitan: |
Universitas Sriwijaya
, 2023
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| Online Access: |
https://comengapp.unsri.ac.id/index.php/comengapp/article/view/425 https://comengapp.unsri.ac.id/index.php/comengapp/article/view/425/260 |
Daftar Isi:
- Covid-19 is a respiratory tract disease caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). The Covid-19 disease was first reported in Wuhan, China, in December 2019. The SARS-CoV-2 virus is primarily transmitted through human contact, and the World Health Organization has proclaimed a global pandemic (WHO). Symptoms of Covid-19 can range from asymptomatic to mild and severe. One way to diagnose Covid-19 disease can be done by examining lung abnormalities on the results of a Computed Tomography Scan (CT-Scan) of the lungs. However, determining the diagnostic results requires high accuracy and a long time. For this reason, an automated system is needed to make it easier for medical personnel to diagnose Covid-19 disease quickly and accurately. One of the automated systems with computer assistance in detecting abnormalities in CT-Scan images of the lungs is to perform pattern recognition