oa Covid-19 X-Ray Image Classification Using Deep Learning Models
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- Authors: Atul Sharma1, Gurbakash Phonsa2
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View Affiliations Hide AffiliationsAffiliations: 1 School of Computer Science And Engineering, Lovely Professional University, Phagwara, Punjab, India 2 School of Computer Science And Engineering, Lovely Professional University, Phagwara, Punjab, India
- Source: Global Emerging Innovation Summit (GEIS-2021) , pp 298-304
- Publication Date: November 2021
- Language: English
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< Previous page | Next page > /docserver/preview/fulltext/9781681089010/chapter-34-1.gifCoronavirus (COVID-19) disease is spreading rapidly and is becoming increasingly common every day. This study can be helpful in the basic steps for doctors to diagnose the diseases and treat the patient accordingly. We used 1200 images of COVID-19,1300 Normal images and 1345 Viral Pneumonia images for the research work. We compared three popular deep learning methods which were CNN, VGG19, and Resnet-18 Model. We found that the Resnet-18 model with different useful parameters outperforms all the other proposed models. The accuracy we got was 97% when 50 images from each category were being tested.
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9781681089027
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9781681089010
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