AIM To explore a segmentation algorithm based on deep learning to achieve accurate
diagnosis and treatment of patients with retinal fluid. METHODS A two-dimensional (2D) fully …

Age-related macular degeneration (AMD) is one of the leading causes of irreversible
blindness and is characterized by fluid-related accumulations such as intra-retinal fluid …

Background In anti-vascular endothelial growth factor (anti-VEGF) therapy, an accurate
estimation of multi-class retinal fluid (MRF) is required for the activity prescription and …

Purpose To compare identification rates of retinal fluid of the Notal Vision Home Optical
Coherence Tomography (OCT) device (NVHO) when used by people with age-related …

Purpose Anti–vascular endothelial growth factor (VEGF) treatment of neovascular age-
related macular degeneration (AMD) is a highly effective advance in the retinal armentarium …

Purpose The objective of the study was to evaluate the accuracy of the Notal OCT Analyzer
(NOA) versus that of a retina specialist (RS) in the automated detection of fluid on optical …

Age-related macular degeneration (AMD) is a common eye disease that causes progressive
vision loss in people older than 50 years. Fluid regions in retina are the most characteristic …

We propose a novel automated volumetric segmentation method to detect and quantify
retinal fluid on optical coherence tomography (OCT). The fuzzy level set method was …

Purpose: Previous deep learning studies on optical coherence tomography (OCT) mainly
focused on diabetic retinopathy and age-related macular degeneration. We proposed a …

Importance Large amounts of optical coherence tomographic (OCT) data of diabetic macular
edema (DME) are acquired, but many morphologic features have yet to be identified and …