Semir Yarımada

Automated quantification of parafoveal microvascular complexity using deep learning-based OCTA segmentation and foveal avascular zone detection.

The proposed deep learning framework enables rapid, objective, and reproducible quantification of retinal microvascular complexity and its integration into OCTA software may facilitate large-scale clinical screening and quantitative monitoring of retinal vascular health.