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Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists

Pterygium, an ocular surface disorder, poses diagnostic challenges for optometrists and ophthalmologists. Wepropose using Style-Generative Adversarial Networks (SGANs) to generate synthetic pterygium images fortraining purposes. A training dataset of 68 pterygium images collected during routine clin...

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Main Authors:	Che Azemin, Mohd Zulfaezal, Mohd Tamrin, Mohd Izzuddin, Hilmi, Mohd Radzi, Mohd Kamal, Khairidzan
Format:	Article
Language:	English
Published:	2023
Subjects:	R Medicine (General) T Technology (General)
Online Access:	http://irep.iium.edu.my/108842/7/108842_Utlizing%20sgans%20for%20generating%20synthetic%20images.pdf http://irep.iium.edu.my/108842/ https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/826/726
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spelling	my.iium.irep.1088422023-12-19T06:12:14Z http://irep.iium.edu.my/108842/ Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd Kamal, Khairidzan R Medicine (General) T Technology (General) Pterygium, an ocular surface disorder, poses diagnostic challenges for optometrists and ophthalmologists. Wepropose using Style-Generative Adversarial Networks (SGANs) to generate synthetic pterygium images fortraining purposes. A training dataset of 68 pterygium images collected during routine clinical examinationswas used. Fréchet inception distance (FID) was employed to evaluate the similarity between the synthetic andoriginal images. FID analysis revealed that the synthetic images closely resemble the original pterygiumimages, suggesting a high degree of similarity. This indicates the potential of SGANs in generating realisticpterygium images. The successful generation of synthetic pterygium images using SGANs provides a valuabletool for training future optometrists and ophthalmologists in pterygium diagnosis and grading. By expandingthe availability of diverse pterygium images, trainees can enhance their skills and proficiency. The use ofsynthetic images overcomes limitations associated with obtaining a sufficient number of real pterygiumimages. Additionally, the availability of a large dataset of synthetic images enables the development ofadvanced machine learning algorithms and computer-assisted diagnostic tools, improving the accuracy andefficiency of pterygium grading. SGAN-generated images have the potential to standardize and control thetraining process, leading to improved patient care and management of pterygium 2023-11-06 Article PeerReviewed application/pdf en http://irep.iium.edu.my/108842/7/108842_Utlizing%20sgans%20for%20generating%20synthetic%20images.pdf Che Azemin, Mohd Zulfaezal and Mohd Tamrin, Mohd Izzuddin and Hilmi, Mohd Radzi and Mohd Kamal, Khairidzan (2023) Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists. International Journal of Allied Health Sciences. p. 52. https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/826/726
institution	Universiti Islam Antarabangsa Malaysia
building	IIUM Library
collection	Institutional Repository
continent	Asia
country	Malaysia
content_provider	International Islamic University Malaysia
content_source	IIUM Repository (IREP)
url_provider	http://irep.iium.edu.my/
language	English
topic	R Medicine (General) T Technology (General)
spellingShingle	R Medicine (General) T Technology (General) Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd Kamal, Khairidzan Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
description	Pterygium, an ocular surface disorder, poses diagnostic challenges for optometrists and ophthalmologists. Wepropose using Style-Generative Adversarial Networks (SGANs) to generate synthetic pterygium images fortraining purposes. A training dataset of 68 pterygium images collected during routine clinical examinationswas used. Fréchet inception distance (FID) was employed to evaluate the similarity between the synthetic andoriginal images. FID analysis revealed that the synthetic images closely resemble the original pterygiumimages, suggesting a high degree of similarity. This indicates the potential of SGANs in generating realisticpterygium images. The successful generation of synthetic pterygium images using SGANs provides a valuabletool for training future optometrists and ophthalmologists in pterygium diagnosis and grading. By expandingthe availability of diverse pterygium images, trainees can enhance their skills and proficiency. The use ofsynthetic images overcomes limitations associated with obtaining a sufficient number of real pterygiumimages. Additionally, the availability of a large dataset of synthetic images enables the development ofadvanced machine learning algorithms and computer-assisted diagnostic tools, improving the accuracy andefficiency of pterygium grading. SGAN-generated images have the potential to standardize and control thetraining process, leading to improved patient care and management of pterygium
format	Article
author	Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd Kamal, Khairidzan
author_facet	Che Azemin, Mohd Zulfaezal Mohd Tamrin, Mohd Izzuddin Hilmi, Mohd Radzi Mohd Kamal, Khairidzan
author_sort	Che Azemin, Mohd Zulfaezal
title	Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_short	Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_full	Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_fullStr	Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_full_unstemmed	Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_sort	utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
publishDate	2023
url	http://irep.iium.edu.my/108842/7/108842_Utlizing%20sgans%20for%20generating%20synthetic%20images.pdf http://irep.iium.edu.my/108842/ https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/826/726
_version_	1787131906301624320
score	13.211869

Utlizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists

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