Automated machine learning-based classification of proliferative and non-proliferative diabetic retinopathy using optical coherence tomography angiography vascular density maps.
Elias Khalili PourKhosro RezaeeHossein AzimiSeyed Mohammad MirshahvaladBehzad JafariKaveh FadakarHooshang FaghihiFatemeh BazvandFariba GhassemiNazanin EbrahimiadibMasoud MirghorbaniFatemeh BazvandHamid Riazi-EsfahaniMohammad Riazi EsfahaniPublished in: Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie (2022)
The current study on a limited number of patients with diabetic retinopathy demonstrated that a supervised machine learning-based method known as SVM can be used to differentiate PDR and NPDR patients using OCTA vascular density maps.