Automated Detection of COVID-19 using Deep Learning
Journal: International Journal of Advanced Trends in Computer Science and Engineering (IJATCSE) (Vol.10, No. 2)Publication Date: 2021-04-09
Authors : Sri Harsha Tavidisetty Rajendra Satish Anamalamudi Muralikrishna Enduri;
Page : 824-830
Keywords : Machine learning; Artificial Intelligence; deep learning.;
Abstract
Corona virus 2019 (COVID-2019), has first appeared in Wuhan, China in December 2019, spread around the world rapidly causing thousands of fatalities. It is caused a devastating result in our daily lives, public health, and also the global economy. It is important to sight the positive cases as early as possible therefore forestall any unfoldment of this epidemic and to quickly treat affected patients. The necessity for auxiliary diagnostic tools has increased as there aren't any accurate automated toolkits available. Recent findings obtained using radiology imaging techniques suggest that such images contain salient information about the COVID-19 virus. Coupling deep learning techniques with radiological imaging may end up within the accurate detection of this disease. This assistance will help to beat the matter of an absence of specialized physicians in the remote villages.
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Last modified: 2021-04-12 14:11:44