High-resolution retinal imaging system: diagnostic accuracy and usability

Che Azemin, Mohd Zulfaezal and Mohd Tamrin, Mohd Izzuddin and Yusof @ Alias, Firdaus and Salam, Adzura and Ghazali, Nur Syazriena (2025) High-resolution retinal imaging system: diagnostic accuracy and usability. IIUM Journal of Orofacial and Health Sciences, 6 (1). pp. 69-77. E-ISSN 2735-0584

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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.

Item Type:	Article (Journal)
Uncontrolled Keywords:	diagnostic accuracy, glaucoma detection, highresolution retinal imaging, retinal vessel segmentation, system usability scale
Subjects:	R Medicine > R Medicine (General) 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 Medicine Kulliyyah of Medicine > Department of Ophthalmology
Depositing User:	Dr. Mohd Zulfaezal Che Azemin
Date Deposited:	04 Mar 2025 11:23
Last Modified:	04 Mar 2025 11:23
URI:	http://irep.iium.edu.my/id/eprint/119990

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