High-resolution retinal imaging system: diagnostic accuracy and usability

Authors

  • Mohd Zulfaezal Che Azemin Integrated Omics Research Group, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, Kampus Kuantan, Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang Darul Makmur, Malaysia.
  • Mohd Izzuddin Mohd Tamrin Kulliyyah of Information and Communication Technology, International Islamic University Malaysia, Jalan Gombak, 53100 Kuala Lumpur, Malaysia.
  • Firdaus Yusof Integrated Omics Research Group, Kulliyyah of Allied Health Sciences, International Islamic University Malaysia, Kampus Kuantan, Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang Darul Makmur, Malaysia.
  • Adzura Salam Department of Ophthalmology, Kulliyyah of Medicine, International Islamic University Malaysia, Kampus Kuantan, Jalan Sultan Ahmad Shah, 25200 Kuantan, Pahang Darul Makmur, Malaysia.
  • Nur Syazriena Ghazali OPTOMATA, Bandar Bukit Puchong, 47120 Puchong, Selangor, Malaysia.

DOI:

https://doi.org/10.31436/ijohs.v6i1.357

Keywords:

diagnostic accuracy, glaucoma detection, high-resolution retinal imaging, retinal vessel segmentation, system usability scale

Abstract

The development of high-resolution retinal imaging systems is critical for enhancing the diagnostic accuracy and usability of tools used in detecting glaucoma and managing other ophthalmic and systemic diseases. This study evaluates a novel high-resolution retinal imaging system by comparing its diagnostic performance in detecting glaucoma with AutoMorph, a leading retinal vessel segmentation tool with available online code for reproducibility. The system's diagnostic accuracy was assessed using Area Under the Curve (AUC) metrics, with our system (HRVIAS) achieving a superior AUC of 0.7048 compared to AutoMorph's AUC of 0.6560. Additionally, a usability study was conducted using the System Usability Scale (SUS), where participants rated the system highly, with the majority of scores clustering around 80 to 85, indicating strong user satisfaction. These findings demonstrate that the proposed system not only improves the diagnostic accuracy of detecting glaucoma but also offers a user-friendly interface, making it a valuable tool for clinical and research applications in retinal imaging.

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Published

2025-02-28

How to Cite

Che Azemin, M. Z., Mohd Tamrin, M. I., Yusof, F., Salam, A., & Ghazali, N. S. . (2025). High-resolution retinal imaging system: diagnostic accuracy and usability. IIUM Journal of Orofacial and Health Sciences, 6(1), 69–77. https://doi.org/10.31436/ijohs.v6i1.357

Issue

Vol. 6 No. 1 (2025): Volume 6, Issue 1 (February 2025)

Section

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