Retinal optical coherence tomography (OCT) images provide fundamental information
regarding the health of the posterior eye (eg, the retina and choroid). Thus, the development …

Abstract Diabetic Macular Edema (DME) is a potentially blinding consequence of Diabetic
Retinopathy (DR) as well as the leading cause of vision loss in diabetics. DME is …

OCT fluid segmentation is a crucial task for diagnosis and therapy in ophthalmology. The
current convolutional neural networks (CNNs) supervised by pixel-wise annotated masks …

In this work, we introduce a comprehensive machine-learning algorithm, namely, a
multifidelity neural network (MFNN) architecture for data-driven constitutive metamodeling of …

In ophthalmology, chorioretinal biomarkers (CRBMs) play a significant role in detecting,
quantifying, and ameliorating the treatment of chronic eye conditions. Optical coherence …

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 …

Aims To investigate the efficacy of a bi-modality deep convolutional neural network (DCNN)
framework to categorise age-related macular degeneration (AMD) and polypoidal choroidal …

AIM To assist with retinal vein occlusion (RVO) screening, artificial intelligence (AI) methods
based on deep learning (DL) have been developed to alleviate the pressure experienced by …

Background: An increasing amount of people are globally affected by retinal diseases, such
as diabetes, vascular occlusions, maculopathy, alterations of systemic circulation, and …

This paper presents a heuristic-based convolutional neural network architecture
optimization scheme (HeuCNN). First, CNN architectures are encoded as particles in …