Assessing the efficacy of StyleGAN 3 in generating realistic medical images with limited data availability

Che Azemin, Mohd Zulfaezal and Mohd Tamrin, Mohd Izzuddin and Hilmi, Mohd Radzi and Mohd Kamal, Khairidzan (2024) Assessing the efficacy of StyleGAN 3 in generating realistic medical images with limited data availability. In: 13th International Conference on Software and Computer Applications, ICSCA 2024, 1-3 Feb 2024, Bali, Indonesia.

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Abstract

In this study, we leveraged StyleGAN 3 to synthesize high-fidelity images of pterygium, achieving significant strides in image realism as evidenced by low Fréchet Inception Distance (FID) scores. Our results demonstrate that StyleGAN 3 can intricately capture the textural nuances and vascular patterns distinctive to pterygium, with color tones and variations that closely mirror clinical photography. The generated images exhibit high equivariance to transformations, retaining their realism under various manipulations. Clinician reviews, expressed through confusion matrices, validated the authenticity of the synthetic images, although variations in individual assessments highlighted the challenges in differentiating between generated and real images. Ultimately, our findings confirm the efficacy of StyleGAN 3 in producing synthetic medical images that could potentially expand datasets for medical research and training, while also underscoring the necessity for diversity in training data and model tuning to achieve optimal realism.

Item Type:	Proceeding Paper (Invited Papers)
Additional Information:	6768/112492
Uncontrolled Keywords:	Generative adversarial network, pterygium images, limited data
Subjects:	R Medicine > RE Ophthalmology T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Allied Health Sciences Kulliyyah of Allied Health Sciences > Department of Optometry and Visual Science Kulliyyah of Medicine Kulliyyah of Medicine > Department of Ophthalmology Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Dr. Mohd Zulfaezal Che Azemin
Date Deposited:	05 Jun 2024 16:55
Last Modified:	26 Jun 2024 10:11
URI:	http://irep.iium.edu.my/id/eprint/112492

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