A Survey on Deep Learning Techniques for COVID-19 Detection using Medical Imaging
6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022
; : 1214-1219, 2022.
Article
in English
| Scopus | ID: covidwho-1922685
ABSTRACT
Covid-19 has disrupted lives throughout the world. It has spread all over the world and detection of the virus is an imperative step in beating the virus. Methods such as the RTPCR and Rapid antigen tests are not only time consuming but also complex and expensive. Since the virus attacks the lungs, the Xray images of the chest can be used for the detection of coronavirus. This paper summarizes as well as gives a detailed study of the research and various techniques used for this subject. Methods used for COVID-19 detection using medical imaging using Chest X-Ray (CXR) and CT scan images as well as role and usage of GANs in tackling this problem have been summarized. © 2022 IEEE.
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Type of study:
Observational study
Language:
English
Journal:
6th International Conference on Intelligent Computing and Control Systems, ICICCS 2022
Year:
2022
Document Type:
Article
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