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What is Diabetic Retinopathy Detection via OCTA about?

The document discusses using machine learning methods to classify optical coherence tomography angiography (OCTA) images to discriminate between diabetic retinopathy (DR) and healthy controls. OCTA images of the superficial vascular plexus (SVP), deep vascular plexus (DVP), and retinal vascular network (RVN) from DR patients and healthy controls were analyzed using logistic regression, logistic regression with elastic net penalty, support vector machine, and XGBoost models. The models using multiple images

Author

yogesh

Language

EN