Skip to content
Research Article Open access CC BY 4.0

Review on Deep Learning Based Automatic Detection of COVID-19 from Chest-X Ray Images

Debaraj Rana, Swarna Prabha Jena, Subrat Kumar Pradhan

Current Journal of Applied Science and Technology · pp. 10–14 · Published 13 Aug 2021

10.9734/cjast/2021/v40i1931451

Abstract

The Global pandemic declared Corona Virus Disease (COVID 19) has affected severely tothe health of human being over the globe. More than 15 crore around worldwide have been affected by the Novel Corona virus and it is progressing rapidly. Mainly in the health sector, the hospitals are not properly equipped with proper diagnosis system which can detect the disease accurately with less time consumption. The Chest X Ray image are taking less time and cost effective which can be used for detection of COVID 19 even the severity can also be determine form the CXR images. In the current research many researchers are focusing on implementation of Deep learning method for accurate and quick detection of COVID 19 which can help the radiologist for evaluation of the disease. In this review, proposed Deep learning methodology from the literature have been discussed with their experimental data set. This review could help to develop modified architecture which gives more improvement in the diagnosis in term of computational complexity and time consumption

Covid 19 Deep Learning Chest X-Ray

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

3

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views over time

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

Traffic sources

Referring site, by host.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.