Domain adaptive multi-disease ocular disease recognition

Jiaying Zhang; Chao Hu; Qianru Yang; Xian Wang

doi:10.1117/12.2687738

28 August 2023 Domain adaptive multi-disease ocular disease recognition

Jiaying Zhang, Chao Hu, Qianru Yang, Xian Wang

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127242N (2023) https://doi.org/10.1117/12.2687738
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

An important tool for effectively preventing blindness from eye diseases was an early screening of ophthalmic diseases. Eye fundus image scanning was the most cost-effective and rapid way to screen for ophthalmic diseases. The lack of medical resources and the inefficiency of diagnosis have been effectively improved using deep learning in eye fundus image screening. However, the detection effectiveness of the model in different scenarios could be poor due to the domain gap caused by medical equipment, shooting angle, etc. This paper proposed a scheme for model training enhancement through intermediate domains. Firstly, a residual neural network was utilized for a multi-classification task for fundus multi-disease detection. Secondly, CycleGAN was used as a classical-style migration generative network to generate target-like source domains. Finally, the intermediate domain was used to augment the source domain to train the deep residual network, thus implementing a UDA scheme. Experimental validation on two different domain datasets, On-site and Off-site, showed improved test results after augmentation with the intermediate domain. On the On-site dataset, the F1 Score and AUC improved by 2.72% and 2.94%, respectively. On the Off-site dataset, the F1 score and AUC improved by 4.32% and 6.78%, respectively. The experiments showed that the proposed scheme in this paper could effectively reduce the domain gap's impact and improve the model's generalization ability.

Citation Download Citation

Jiaying Zhang, Chao Hu, Qianru Yang, and Xian Wang "Domain adaptive multi-disease ocular disease recognition", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127242N (28 August 2023); https://doi.org/10.1117/12.2687738

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KEYWORDS

Medical imaging

Deep learning

Diseases and disorders

Gallium nitride

Eye models

Data modeling

Neurological disorders

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