Gaze Exploration Index (GE i)-Explainable Detection Model for Glaucoma

Glaucoma is a type of visual impairment that caused due to damage in the optic nerve. The vision loss increases from peripheral towards central vision, leading blindness if untreated. proposed approach Computer-Aided Detection (CADe) system using deep learning screen field glaucoma patients while performing different day-to-day activities such as searching objects, viewing photographs, etc. Incorporating an eye-tracking device helps identify eye movements activities. Different are depicted form exploration tasks. CADe fuses performance parameters and gaze during tasks onto images, guide health care professionals primary centers screening. pertinent visualized three fusion maps: Gaze Fusion Map (GFM), Reaction Time (GFRT) map, Convex Hull (GCHM), which outcomes In addition, explainability techniques applied generated Exploration - index (GE-i) discriminates normal.