Author Login IJIRT Partner Network (IPN) Login

Covid-19 Detection Using Chest X-Ray

  • Unique Paper ID: 155791
  • Volume: 9
  • Issue: 1
  • PageNo: 1788-1792
  • Abstract:
  • COVID-19 continues to have a devastating impact on the lives of people all around the world. It is vital to screen the affected patients in a timely and cost-effective manner in order to combat this disease. Radiological examination is one of the most plausible steps in achieving this goal, with chest X-Ray being the most readily available and least priced option. We present a Deep Convolutional Neural Network-based approach to detect COVID-19 +ve patients using chest X-Ray pictures in this research. The implementation of a semi-quantitative CXR assessment has resulted from the addition of useful assistance to clinicians and the stratification of disease risk. Both severity scores and CXR results diagnosed early stage COVID-19 disease in this study. CXRs abnormalities were detected in 278 of 350 patients (78%) at certain points of the disease course. The DarkNet model was used in our study as a classifier for the you only look once (YOLO) real time object detection system. We implemented 17 convolutional layers and introduced different filtering on each layer. We have created a graphical user interface (GUI) application for public use. This application can be used by any medical personnel on any computer to detect COVID +ve patients using Chest X-Ray images in a matter of seconds.
email to a friend

Cite This Article

  • ISSN: 2349-6002
  • Volume: 9
  • Issue: 1
  • PageNo: 1788-1792

Covid-19 Detection Using Chest X-Ray

Related Articles

Impact Factor
8.01 (Year 2024)
UGC Approved
Journal no 47859

Join Our IPN

IJIRT Partner Network

Submit your research paper and those of your network (friends, colleagues, or peers) through your IPN account, and receive 800 INR for each paper that gets published.

Join Now

Latest Publication

Archive

View More

Recent Conferences

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024 Last Date: 15th March 2024

Submit inquiry