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The diagnostics of osteoarthritis : A fine-tuned transfer learning approach

Osteoarthritis (OA) is an illness that causes the wear of the protective cartilage between two bones in joints. Patients with OA disease suffer from pain in joints, stiffness, loss of flexibility, amongst others. Conventional means of identifying OA is considered laborious and prone to mistakes. Owi...

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Main Authors:	Salman, Abdulaziz Abdo Saif, Mohd Azraai, Mohd Razman, Ismail, Mohd Khairuddin, Muhammad Amirul, Abdullah, Abdul Majeed, Anwar P.P.
Format:	Conference or Workshop Item
Language:	English English
Published:	Springer Science and Business Media Deutschland GmbH 2022
Subjects:	QA75 Electronic computers. Computer science T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/39468/1/The%20Diagnostics%20of%20Osteoarthritis_A%20Fine-Tuned%20Transfer%20Learning%20Approach.pdf http://umpir.ump.edu.my/id/eprint/39468/2/The%20diagnostics%20of%20osteoarthritis_A%20fine-tuned%20transfer%20learning%20approach_ABS.pdf http://umpir.ump.edu.my/id/eprint/39468/ https://doi.org/10.1007/978-3-030-97672-9_41
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spelling	my.ump.umpir.394682023-12-01T07:42:52Z http://umpir.ump.edu.my/id/eprint/39468/ The diagnostics of osteoarthritis : A fine-tuned transfer learning approach Salman, Abdulaziz Abdo Saif Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Muhammad Amirul, Abdullah Abdul Majeed, Anwar P.P. QA75 Electronic computers. Computer science T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Osteoarthritis (OA) is an illness that causes the wear of the protective cartilage between two bones in joints. Patients with OA disease suffer from pain in joints, stiffness, loss of flexibility, amongst others. Conventional means of identifying OA is considered laborious and prone to mistakes. Owing to the advancement of computer vision and computational models, automatic diagnostics is possible. Therefore, this paper proposes the use of transfer learning models for the classification of the different classes of OA. The pre-trained Convolutional Neural Network models used are VGG16, VGG19 and Resnet50, with their fully connected layers, are heuristically fine-tuned. It was demonstrated from this preliminary study that the fine-tuned VGG16 model could classify the classes fairly well in comparison to those that have been reported in the literature. Springer Science and Business Media Deutschland GmbH 2022 Conference or Workshop Item PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/39468/1/The%20Diagnostics%20of%20Osteoarthritis_A%20Fine-Tuned%20Transfer%20Learning%20Approach.pdf pdf en http://umpir.ump.edu.my/id/eprint/39468/2/The%20diagnostics%20of%20osteoarthritis_A%20fine-tuned%20transfer%20learning%20approach_ABS.pdf Salman, Abdulaziz Abdo Saif and Mohd Azraai, Mohd Razman and Ismail, Mohd Khairuddin and Muhammad Amirul, Abdullah and Abdul Majeed, Anwar P.P. (2022) The diagnostics of osteoarthritis : A fine-tuned transfer learning approach. In: Lecture Notes in Networks and Systems; 9th International Conference on Robot Intelligence Technology and Applications, RiTA 2021, 16-17 December 2021 , Daejeon. pp. 455-461., 429 LNNS (276219). ISSN 23673370 ISBN 978-303097671-2 https://doi.org/10.1007/978-3-030-97672-9_41
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	QA75 Electronic computers. Computer science T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	QA75 Electronic computers. Computer science T Technology (General) TA Engineering (General). Civil engineering (General) TJ Mechanical engineering and machinery TK Electrical engineering. Electronics Nuclear engineering Salman, Abdulaziz Abdo Saif Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Muhammad Amirul, Abdullah Abdul Majeed, Anwar P.P. The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
description	Osteoarthritis (OA) is an illness that causes the wear of the protective cartilage between two bones in joints. Patients with OA disease suffer from pain in joints, stiffness, loss of flexibility, amongst others. Conventional means of identifying OA is considered laborious and prone to mistakes. Owing to the advancement of computer vision and computational models, automatic diagnostics is possible. Therefore, this paper proposes the use of transfer learning models for the classification of the different classes of OA. The pre-trained Convolutional Neural Network models used are VGG16, VGG19 and Resnet50, with their fully connected layers, are heuristically fine-tuned. It was demonstrated from this preliminary study that the fine-tuned VGG16 model could classify the classes fairly well in comparison to those that have been reported in the literature.
format	Conference or Workshop Item
author	Salman, Abdulaziz Abdo Saif Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Muhammad Amirul, Abdullah Abdul Majeed, Anwar P.P.
author_facet	Salman, Abdulaziz Abdo Saif Mohd Azraai, Mohd Razman Ismail, Mohd Khairuddin Muhammad Amirul, Abdullah Abdul Majeed, Anwar P.P.
author_sort	Salman, Abdulaziz Abdo Saif
title	The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
title_short	The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
title_full	The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
title_fullStr	The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
title_full_unstemmed	The diagnostics of osteoarthritis : A fine-tuned transfer learning approach
title_sort	diagnostics of osteoarthritis : a fine-tuned transfer learning approach
publisher	Springer Science and Business Media Deutschland GmbH
publishDate	2022
url	http://umpir.ump.edu.my/id/eprint/39468/1/The%20Diagnostics%20of%20Osteoarthritis_A%20Fine-Tuned%20Transfer%20Learning%20Approach.pdf http://umpir.ump.edu.my/id/eprint/39468/2/The%20diagnostics%20of%20osteoarthritis_A%20fine-tuned%20transfer%20learning%20approach_ABS.pdf http://umpir.ump.edu.my/id/eprint/39468/ https://doi.org/10.1007/978-3-030-97672-9_41
_version_	1822923896911822848
score	13.232492

The diagnostics of osteoarthritis : A fine-tuned transfer learning approach

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