Diagnosis of Pathological myopia using vision transformer based on fundus color photography

Jiaqing Zhao; Liming Li; Cuixia Dai; Yuchen Wang; Zenan Zhou; Huanhaun Yu; Chen Niu

doi:10.1117/12.3036819

13 July 2024 Diagnosis of Pathological myopia using vision transformer based on fundus color photography

Jiaqing Zhao, Liming Li, Cuixia Dai, Yuchen Wang, Zenan Zhou, Huanhaun Yu, Chen Niu

Proceedings Volume 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024); 1320816 (2024) https://doi.org/10.1117/12.3036819
Event: 3rd International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 2024, Nanchang, China

Abstract

Pathological myopia (PM) is a serious public health issue which potentially leads to severe visual impairment. Traditionally, fundus color photography (FCP) is employed to detect PM for its precision and image quality. However, manual analysis of FCP is time-consuming and susceptible to errors. Current automated detection methods lack the necessary granularity in classifying different stages of PM lesions. To address this problem, we developed an intelligent method for automatic PM detection, utilizing Vision Transformer (ViT) to perform detailed classification of PM. This system achieved an accuracy of 98.66% and an area under the curve (AUC) of 99.98% in detecting PM. Compared to traditional ophthalmological diagnostic methods, this model demonstrates higher efficiency and accuracy

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Jiaqing Zhao, Liming Li, Cuixia Dai, Yuchen Wang, Zenan Zhou, Huanhaun Yu, and Chen Niu "Diagnosis of Pathological myopia using vision transformer based on fundus color photography", Proc. SPIE 13208, Third International Conference on Biomedical and Intelligent Systems (IC-BIS 2024), 1320816 (13 July 2024); https://doi.org/10.1117/12.3036819

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