Second International Conference on Electrical, Electronics, and Information Engineering (EEIE 2023) 2024
DOI: 10.1117/12.3017888
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Fusion learning methods for the age-related macular degeneration diagnosis based on multiple sources of ophthalmic digital images

Mini Han Wang,
Junjie Zhou,
Chengde Huang
et al.

Abstract: Age-related Macular Degeneration (AMD) is one of the major causes of elders' vision losses, and therefore its early screening and treatment are the most efficient way to reduce the risk of blindness. AI-based methods based on ophthalmic images have great potential for AMD diagnosis. However, low levels of accuracy, robustness, and explainability are challenges for AI approaches to be clinically applied. Traditionally unsupervised methods (Hierarchical Clustering and K-Means) and supervised methods (SVM, VGG-16… Show more

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