Staff View: The diagnosis of COVID-19 by means of transfer learning through X-ray images

The diagnosis of COVID-19 by means of transfer learning through X-ray images

Radiography is used in medical treatment as a method to diagnose the internal organs of the human body from diseases. However, the advancement in machine learning technologies have paved way to new possibilities of diagnosing diseases from chest X-ray images. One such diseases that are able to be de...

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Main Authors:	Amiir Haamzah, Mohamed Ismail, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Musa, Rabiu Muazu, P.P. Abdul Majeed, Anwar
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE Computer Society 2021
Subjects:	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
Online Access:	http://umpir.ump.edu.my/id/eprint/42396/1/The%20diagnosis%20of%20COVID-19%20by%20means%20of%20transfer%20learning.pdf http://umpir.ump.edu.my/id/eprint/42396/2/The%20diagnosis%20of%20COVID-19%20by%20means%20of%20transfer%20learning%20through%20X-ray%20Images_ABS.pdf http://umpir.ump.edu.my/id/eprint/42396/ https://doi.org/10.23919/ICCAS52745.2021.9649899
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spelling	my.ump.umpir.423962024-10-30T04:41:06Z http://umpir.ump.edu.my/id/eprint/42396/ The diagnosis of COVID-19 by means of transfer learning through X-ray images Amiir Haamzah, Mohamed Ismail Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Musa, Rabiu Muazu P.P. Abdul Majeed, Anwar T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Radiography is used in medical treatment as a method to diagnose the internal organs of the human body from diseases. However, the advancement in machine learning technologies have paved way to new possibilities of diagnosing diseases from chest X-ray images. One such diseases that are able to be detected by using X-ray is the COVID-19 coronavirus. This research investigates the diagnosis of COVID-19 through X-ray images by using transfer learning and fine-tuning of the fully connected layer. Hyperparameters such as dropout, p, number of neurons, and activation functions are investigated on which combinations of these hyperparameters will yield the highest classification accuracy model. VGG19 learning model created by the Visual Geometry Group is used for extraction of features from the patient's chest X-ray images. To evaluate the combination of various pipelines, the loss and accuracy graphs are used to find the pipeline which performs the best in classification task. The findings in this research will open new possibilities in screening method for COVID-19. IEEE Computer Society 2021 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/42396/1/The%20diagnosis%20of%20COVID-19%20by%20means%20of%20transfer%20learning.pdf pdf en http://umpir.ump.edu.my/id/eprint/42396/2/The%20diagnosis%20of%20COVID-19%20by%20means%20of%20transfer%20learning%20through%20X-ray%20Images_ABS.pdf Amiir Haamzah, Mohamed Ismail and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin and Musa, Rabiu Muazu and P.P. Abdul Majeed, Anwar (2021) The diagnosis of COVID-19 by means of transfer learning through X-ray images. In: International Conference on Control, Automation and Systems. 21st International Conference on Control, Automation and Systems, ICCAS 2021 , 12 - 15 October 2021 , Jeju. pp. 592-595., 2021-October. ISBN 978-899321521-2 (Published) https://doi.org/10.23919/ICCAS52745.2021.9649899
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) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures
spellingShingle	T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering TS Manufactures Amiir Haamzah, Mohamed Ismail Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Musa, Rabiu Muazu P.P. Abdul Majeed, Anwar The diagnosis of COVID-19 by means of transfer learning through X-ray images
description	Radiography is used in medical treatment as a method to diagnose the internal organs of the human body from diseases. However, the advancement in machine learning technologies have paved way to new possibilities of diagnosing diseases from chest X-ray images. One such diseases that are able to be detected by using X-ray is the COVID-19 coronavirus. This research investigates the diagnosis of COVID-19 through X-ray images by using transfer learning and fine-tuning of the fully connected layer. Hyperparameters such as dropout, p, number of neurons, and activation functions are investigated on which combinations of these hyperparameters will yield the highest classification accuracy model. VGG19 learning model created by the Visual Geometry Group is used for extraction of features from the patient's chest X-ray images. To evaluate the combination of various pipelines, the loss and accuracy graphs are used to find the pipeline which performs the best in classification task. The findings in this research will open new possibilities in screening method for COVID-19.
format	Conference or Workshop Item
author	Amiir Haamzah, Mohamed Ismail Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Musa, Rabiu Muazu P.P. Abdul Majeed, Anwar
author_facet	Amiir Haamzah, Mohamed Ismail Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Musa, Rabiu Muazu P.P. Abdul Majeed, Anwar
author_sort	Amiir Haamzah, Mohamed Ismail
title	The diagnosis of COVID-19 by means of transfer learning through X-ray images
title_short	The diagnosis of COVID-19 by means of transfer learning through X-ray images
title_full	The diagnosis of COVID-19 by means of transfer learning through X-ray images
title_fullStr	The diagnosis of COVID-19 by means of transfer learning through X-ray images
title_full_unstemmed	The diagnosis of COVID-19 by means of transfer learning through X-ray images
title_sort	diagnosis of covid-19 by means of transfer learning through x-ray images
publisher	IEEE Computer Society
publishDate	2021
url	http://umpir.ump.edu.my/id/eprint/42396/1/The%20diagnosis%20of%20COVID-19%20by%20means%20of%20transfer%20learning.pdf http://umpir.ump.edu.my/id/eprint/42396/2/The%20diagnosis%20of%20COVID-19%20by%20means%20of%20transfer%20learning%20through%20X-ray%20Images_ABS.pdf http://umpir.ump.edu.my/id/eprint/42396/ https://doi.org/10.23919/ICCAS52745.2021.9649899
_version_	1822924729152962560
score	13.232432

The diagnosis of COVID-19 by means of transfer learning through X-ray images

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