Detection of Coronavirus Disease (COVID-19) Based on Deep Features
Sambalpur University · Veer Surendra Sai University of Technology
Abstract
The detection of coronavirus (COVID-19) is now a critical task for the medical practitioner. The coronavirus spread so quickly between people and approaches 100,000 people worldwide. In this consequence, it is very much essential to identify the infected people so that prevention of spread can be taken. In this paper, the deep learning based methodology is suggested for detection of coronavirus infected patient using X-ray images. The support vector machine classifies the corona affected X-ray images from others using the deep feature. The methodology is beneficial for the medical practitioner for diagnosis of coronavirus infected patient. The suggested classification model, i.e. resnet50 plus SVM achieved…
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Authors
2Topics & keywords
- Coronavirus disease 2019 (COVID-19)
- Coronavirus
- Artificial intelligence
- Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
- Support vector machine
- 2019-20 coronavirus outbreak
- Computer science
- Deep learning
- Good health and well-being