INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
Detect COVID-19 with chest x-ray images using Deep learning
Authors Name:
Nguyen Hoang Minh Ngoc
, Nguyen Thi Tuyen Tran
Unique Id:
IJSDR2210059
Published In:
Volume 7 Issue 10, October-2022
Abstract:
The COVID-19 was recognized as a pandemic by WHO on March 12, 2020, putting some countries in a situation of lacking resolve, capacity, and resources [27]. Inspired by these facts, deep learning algorithms relating to computer vision have been researched, and then applied to detect the COVID-19 using the chest X-ray by building a model called AiCOVID with an accuracy rate of 95.765%. Besides that, our model can detect whether COVID-19-inpatients have other lung diseases (viral pneumonia, lung cancer...). Notably, our model concerns fake positive cases of patients who had COVID-19 before.
Keywords:
COVID-19, computational biology, deep learning, computer vision, X-ray
Cite Article:
"Detect COVID-19 with chest x-ray images using Deep learning", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.7, Issue 10, page no.339 - 342, October-2022, Available :http://www.ijsdr.org/papers/IJSDR2210059.pdf
Downloads:
000337071
Publication Details:
Published Paper ID: IJSDR2210059
Registration ID:201432
Published In: Volume 7 Issue 10, October-2022
DOI (Digital Object Identifier):
Page No: 339 - 342
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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