The covid-19 detection with contactless method based on deep learning

The spread of corona virus diseases among medical workers is a big problem in this pandemic corona virus. The are many medical workers suffer and some of them died. The infected medical workers of corona virus are caused through directed or closed contacts between infected patients and medical worke...

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Main Authors: Ismail, undefined, Fibriyanti, ,, Aidha, Zass Ressy, Menhendry, ,, Kamarul Hawari, Ghazali
Format: Conference or Workshop Item
Language:English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2020
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/42457/1/The%20Covid-19%20detection%20with%20contactless%20method%20based%20on%20deep%20learning.pdf
http://umpir.ump.edu.my/id/eprint/42457/2/The%20Covid-19%20detection%20with%20contactless%20method%20based%20on%20deep%20learning_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42457/
https://doi.org/10.1109/iCAST51016.2020.9557633
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spelling my.ump.umpir.424572024-12-02T01:13:49Z http://umpir.ump.edu.my/id/eprint/42457/ The covid-19 detection with contactless method based on deep learning Ismail, undefined Fibriyanti, , Aidha, Zass Ressy Menhendry, , Kamarul Hawari, Ghazali T Technology (General) TA Engineering (General). Civil engineering (General) TK Electrical engineering. Electronics Nuclear engineering The spread of corona virus diseases among medical workers is a big problem in this pandemic corona virus. The are many medical workers suffer and some of them died. The infected medical workers of corona virus are caused through directed or closed contacts between infected patients and medical workers. The closed and directed contact in medical services take place especially in diagnostic process. In order to handle this problem, the proposed method prevents the closed or directed contacts of medical workers to the suspected patients. The method uses RMI images or chest X-ray images data to predict the infected suspects. The proposed method is detecting the infected lung X-Ray image through Deep Learning model. It uses pre-trained model of GoogleNet, with modification. The Confusion Matrix and ROC curve are used to measure accuracy the predicted. They show that proposed method has high accuracy . Finally, the proposed method is able to replace closed or directed contact diagnostic done by medical workers to Covid-19 suspects. It has ability to handle the spread of Covid-19 among medical workers. Institute of Electrical and Electronics Engineers Inc. 2020 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42457/1/The%20Covid-19%20detection%20with%20contactless%20method%20based%20on%20deep%20learning.pdf pdf en http://umpir.ump.edu.my/id/eprint/42457/2/The%20Covid-19%20detection%20with%20contactless%20method%20based%20on%20deep%20learning_ABS.pdf Ismail, undefined and Fibriyanti, , and Aidha, Zass Ressy and Menhendry, , and Kamarul Hawari, Ghazali (2020) The covid-19 detection with contactless method based on deep learning. In: 3rd International Conference on Applied Science and Technology, iCAST 2020. 3rd International Conference on Applied Science and Technology, iCAST 2020 , 24 - 25 October 2020 , Padang. pp. 241-245.. ISBN 978-172819567-4 (Published) https://doi.org/10.1109/iCAST51016.2020.9557633
institution Universiti Malaysia Pahang Al-Sultan Abdullah
building UMPSA Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang Al-Sultan Abdullah
content_source UMPSA Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
English
topic T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
spellingShingle T Technology (General)
TA Engineering (General). Civil engineering (General)
TK Electrical engineering. Electronics Nuclear engineering
Ismail, undefined
Fibriyanti, ,
Aidha, Zass Ressy
Menhendry, ,
Kamarul Hawari, Ghazali
The covid-19 detection with contactless method based on deep learning
description The spread of corona virus diseases among medical workers is a big problem in this pandemic corona virus. The are many medical workers suffer and some of them died. The infected medical workers of corona virus are caused through directed or closed contacts between infected patients and medical workers. The closed and directed contact in medical services take place especially in diagnostic process. In order to handle this problem, the proposed method prevents the closed or directed contacts of medical workers to the suspected patients. The method uses RMI images or chest X-ray images data to predict the infected suspects. The proposed method is detecting the infected lung X-Ray image through Deep Learning model. It uses pre-trained model of GoogleNet, with modification. The Confusion Matrix and ROC curve are used to measure accuracy the predicted. They show that proposed method has high accuracy . Finally, the proposed method is able to replace closed or directed contact diagnostic done by medical workers to Covid-19 suspects. It has ability to handle the spread of Covid-19 among medical workers.
format Conference or Workshop Item
author Ismail, undefined
Fibriyanti, ,
Aidha, Zass Ressy
Menhendry, ,
Kamarul Hawari, Ghazali
author_facet Ismail, undefined
Fibriyanti, ,
Aidha, Zass Ressy
Menhendry, ,
Kamarul Hawari, Ghazali
author_sort Ismail, undefined
title The covid-19 detection with contactless method based on deep learning
title_short The covid-19 detection with contactless method based on deep learning
title_full The covid-19 detection with contactless method based on deep learning
title_fullStr The covid-19 detection with contactless method based on deep learning
title_full_unstemmed The covid-19 detection with contactless method based on deep learning
title_sort covid-19 detection with contactless method based on deep learning
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2020
url http://umpir.ump.edu.my/id/eprint/42457/1/The%20Covid-19%20detection%20with%20contactless%20method%20based%20on%20deep%20learning.pdf
http://umpir.ump.edu.my/id/eprint/42457/2/The%20Covid-19%20detection%20with%20contactless%20method%20based%20on%20deep%20learning_ABS.pdf
http://umpir.ump.edu.my/id/eprint/42457/
https://doi.org/10.1109/iCAST51016.2020.9557633
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score 13.232414