Automated Detection of Glaucoma and Diagnostic Features for Justraigs Challenge

Glaucoma encompasses a set of ocular conditions that jeopardize vision and can lead to blindness by harming the optic nerve at the rear of the eye. While early detection is crucial to halt further vision impairment, it is often challenging due to the scarcity of medical experts. To mitigate this limitation, various deep learning architectures have been developed. However, due to their importance, further improvement of these models is crucial. They also tend to operate as "black boxes", which makes their decision process opaque. To address these issues, our work not only establishes a new state-of-the-art (SOTA) glaucoma classification pipeline on JustRAIGS dataset but also detects ten additional features commonly used by ophthalmologists to explain their diagnostic decisions.