SEGMENTATION OF RETINAL BLOOD VESSELS IN OPTICAL COHERENCE TOMOGRAPHY ANGIOGRAPHY IMAGES

摘要

Methods for automated segmentation system for retinal blood vessels from optical coherence tomography angiography images include a preprocessing stage, an initial segmentation stage, and a refining stage. Application of machine-learning techniques to segmented images allow for automated diagnosis of retinovascular diseases, such as diabetic retinopathy.