Peer-Reviewed Publication
Clin Exp Ophthalmol2026September 1, 2026Journal Article
Correcting Axial Length-Related Magnification Errors in Optical Coherence Tomography Angiography Improves Machine Learning Classification Performance in High Myopia.
Danuta M Sampson1, Mila Yue Zhang1, Hemn Baghban Jaldian2, Madeleine S Torcasso3, Gavrielle R Untracht4, Jocelyn J Drinkwater1,5, Mei Zhao6, David D Sampson7, Andrew Lam6, Fred K Chen1,8,9
1Centre for Ophthalmology and Visual Science (Incorporating Lions Eye Institute), The University of Western Australia, Perth, Australia.
2Department of Optometry, School of Rehabilitation, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
3Department of Medicine, University of Chicago, Chicago, Illinois, USA.
4Department of Health Technology, Technical University of Denmark, Kongens Lyngby, Denmark.
5Lions Outback Vision, Nedlands, Australia.
6Centre for Myopia Research, School of Optometry, Faculty of Health and Social Science, The Hong Kong Polytechnic University, Kowloon, Hong Kong, China.
7School of Computer Science and Electronic Engineering, The University of Surrey, Guildford, UK.
8Department of Ophthalmology, Royal Perth Hospital, Perth, Australia.
9Ophthalmology, Department of Surgery, University of Melbourne, Melbourne, Australia.
Abstract
BACKGROUND: To determine whether axial length-related magnification correction in optical coherence tomography angiography (OCTA) improves machine learning classification of high myopia and resolves inconsistencies in the values and discriminatory power of OCTA microvascular metrics.
METHODS: We analysed retinal OCTA images from a prior Hong Kong Polytechnic University study. Fourteen superficial…
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