Multi-comparison of different ocular imaging modality-based deep learning models for visually significant cataract detection
Age-related cataract is the leading cause of vision impairment. Researchers have utilised various imaging modalities, including slit- beam, diffuse anterior segment, and retinal imaging, to develop deep learning (DL) algorithms for automated cataract detection and grading. However, the comparative performance of these algorithms across different ocular imaging modalities remains unevaluated, mainly due to the absence of standardized test sets across studies.
