Abstract
Presentation Description :
This presentation will emphasize the transformative impact of AI methodologies, specifically classification, semantic segmentation, and instance segmentation, within ophthalmology. Classification provides the foundational capability to discern and categorize broad disease types from retinal images. Semantic segmentation advances this by offering pixel-wise categorization of images, pinpointing localized ocular anomalies. Instance segmentation further refines this approach, distinguishing individual anomalies even in densely packed regions. Together, these methodologies not only bolster the precision of disease detection but also empower clinicians with nuanced insights, fostering timely and targeted interventions. In the evolving world of ophthalmic diagnostics, the synergy of these three AI tools stands paramount.
This abstract was presented at the 2024 ARVO Annual Meeting, held in Seattle, WA, May 5-9, 2024.