12 citations · 12 across the 1 of their papers we have counts for
2 papers
cs.CV2018
Predicting optical coherence tomography-derived diabetic macular edema grades from fundus photographs using deep learning
Avinash Varadarajan, Pinal Bavishi, Paisan Raumviboonsuk +15
Diabetic eye disease is one of the fastest growing causes of preventable blindness. With the advent of anti-VEGF (vascular endothelial growth factor) therapies, it has become incre…
cs.CV2017★ 12 cited
Deep Learning for Automated Quality Assessment of Color Fundus Images in Diabetic Retinopathy Screening
Sajib Kumar Saha, Basura Fernando, Jorge Cuadros +2
Purpose To develop a computer based method for the automated assessment of image quality in the context of diabetic retinopathy (DR) to guide the photographer. Methods A deep learn…