Recent methods for automatic blood vessel segmentation from fundus images have been commonly implemented as convolutional neural networks. While these networks report high values for objective metrics, the clinical viability of recovered segmentation masks remains unexplored. In this paper, we perform a pilot study to assess the clinical viability of automatically generated segmentation masks in the diagnosis of diseases affecting retinal vascularization.
View Article and Find Full Text PDFIntroduction: Macular edema is the main cause of visual loss in patients with branch retinal vein occlusion. Macular edema is initially reversible, but over time, permanent loss ofvision occurs from structural damage to the macula. For this reason, there is a need for more rapid and effective treatments than laser photocoagulation which has been established as a gold standard.
View Article and Find Full Text PDFBackground/aim: Within diabetic retinopathy (DR), diabetic macular edema DIE) is one of the leading causes of the loss of visual acuity. The aim of this study was to determine the efficacy of the intravitreal vascular endothelial growth factor (VEGF) inhibitor application alone or combined with macular focal/grid lasephotocoagulation compared with laser treatment alone.
Methods: This prospective randomized clinical trial included 72 patients (120 treated eyes) with varying degrees of DR and DME.