Purpose: To assess the quality of optical coherence tomography (OCT) grading algorithms
for retinal biomarkers of age-related macular degeneration (AMD). Methods: Following a …

We developed a deep learning algorithm for the automatic segmentation and quantification
of intraretinal cystoid fluid (IRC) in spectral domain optical coherence tomography (SD-OCT) …

Automated retinal layer segmentation of optical coherence tomography (OCT) images has
been successful for normal eyes but becomes challenging for eyes with retinal diseases if …

The automatic identification and segmentation of edemas associated with diabetic macular
edema (DME) constitutes a crucial ophthalmological issue as they provide useful …

In this paper, an automatic method is reported for simultaneously segmenting layers and
fluid in 3-D OCT retinal images of subjects suffering from central serous retinopathy. To …

Pigment epithelium detachment (PED) is an important clinical manifestation of multiple
chorioretinal diseases, which can cause loss of central vision. In this paper, an automated …

The number of critically sick patients is increasing, placing pressure on the healthcare
system, which is witnessing twice as many new cases as a year ago. Artificial intelligence …

An intelligent segmentation and identification of edemas diseases constitutes a most
important crucial ophthalmological issues since they provide important information for the …

Choroidal neovascularization (CNV) is a major cause of blindness in patients with age-
related macular degeneration (AMD). Overexpression of vascular endothelial growth factor …

Branch retinal artery occlusion (BRAO) is an ocular emergency, which could lead to
blindness. Quantitative analysis of the BRAO region in the retina is necessary for the …