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Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists

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

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Main Authors: Che Azemin, Mohd Zulfaezal, Mohd Tamrin, Mohd Izzuddin, Hilmi, Mohd Radzi, Mohd Kamal, Khairidzan
Format: Proceeding Paper
Language:English
Published: IIUM Press 2023
Subjects:
R Medicine (General)
T Technology (General)
Online Access:http://irep.iium.edu.my/108839/1/108839_Utilizing%20SGANs%20for%20generating.pdf
http://irep.iium.edu.my/108839/
https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/826
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spelling my.iium.irep.1088392024-01-31T08:46:38Z http://irep.iium.edu.my/108839/ Utilizing 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. We propose using Style-Generative Adversarial Networks (SGANs) to generate synthetic pterygium images for training purposes. A training dataset of 68 pterygium images collected during routine clinical examinations was used. Fréchet inception distance (FID) was employed to evaluate the similarity between the synthetic and original images. FID analysis revealed that the synthetic images closely resemble the original pterygium images, suggesting a high degree of similarity. This indicates the potential of SGANs in generating realistic pterygium images. The successful generation of synthetic pterygium images using SGANs provides a valuable tool for training future optometrists and ophthalmologists in pterygium diagnosis and grading. By expanding the availability of diverse pterygium images, trainees can enhance their skills and proficiency. The use of synthetic images overcomes limitations associated with obtaining a sufficient number of real pterygium images. Additionally, the availability of a large dataset of synthetic images enables the development of advanced machine learning algorithms and computer-assisted diagnostic tools, improving the accuracy and efficiency of pterygium grading. SGAN-generated images have the potential to standardize and control the training process, leading to improved patient care and management of pterygium. IIUM Press 2023-11-06 Proceeding Paper PeerReviewed application/pdf en http://irep.iium.edu.my/108839/1/108839_Utilizing%20SGANs%20for%20generating.pdf Che Azemin, Mohd Zulfaezal and Mohd Tamrin, Mohd Izzuddin and Hilmi, Mohd Radzi and Mohd Kamal, Khairidzan (2023) Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists. In: 4th Optometry Scientific Conference, 12-13 August 2023, Bangi, Selangor. (Unpublished) https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/826
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
Utilizing 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. We propose using Style-Generative Adversarial Networks (SGANs) to generate synthetic pterygium images for training purposes. A training dataset of 68 pterygium images collected during routine clinical examinations was used. Fréchet inception distance (FID) was employed to evaluate the similarity between the synthetic and original images. FID analysis revealed that the synthetic images closely resemble the original pterygium images, suggesting a high degree of similarity. This indicates the potential of SGANs in generating realistic pterygium images. The successful generation of synthetic pterygium images using SGANs provides a valuable tool for training future optometrists and ophthalmologists in pterygium diagnosis and grading. By expanding the availability of diverse pterygium images, trainees can enhance their skills and proficiency. The use of synthetic images overcomes limitations associated with obtaining a sufficient number of real pterygium images. Additionally, the availability of a large dataset of synthetic images enables the development of advanced machine learning algorithms and computer-assisted diagnostic tools, improving the accuracy and efficiency of pterygium grading. SGAN-generated images have the potential to standardize and control the training process, leading to improved patient care and management of pterygium.
format Proceeding Paper
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 Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_short Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_full Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_fullStr Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_full_unstemmed Utilizing SGANs for generating synthetic images of pterygium: training future optometrists and ophthalmologists
title_sort utilizing sgans for generating synthetic images of pterygium: training future optometrists and ophthalmologists
publisher IIUM Press
publishDate 2023
url http://irep.iium.edu.my/108839/1/108839_Utilizing%20SGANs%20for%20generating.pdf
http://irep.iium.edu.my/108839/
https://journals.iium.edu.my/ijahs/index.php/IJAHS/article/view/826
_version_ 1789940150603612160
score 13.211869

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