Background Recent advances in deep learning techniques have led to improved diagnostic
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …

The visualization and assessment of retinal microvasculature are important in the study,
diagnosis, monitoring, and guidance of treatment of ocular and systemic diseases. With the …

Global eye health is defined as the degree to which vision, ocular health, and function are
maximised worldwide, thereby optimising overall wellbeing and quality of life. Improving eye …

Age-related macular degeneration (AMD) is the leading cause of central vision impairment
among the elderly. Effective and accurate AMD screening tools are urgently needed …

The rapid advancements in generative artificial intelligence are set to significantly influence
the medical sector, particularly ophthalmology. Generative adversarial networks and …

Information sharing is fundamental to both research and care delivery, and standardization/
privacy are key constituent considerations. Therefore, widespread engagement with, and …

Spectral-domain optical coherence tomography (SDOCT) is the gold standard of imaging
the eye in clinics. Penetration depth with such devices is, however, limited and visualization …

Nowadays, retinal optical coherence tomography (OCT) plays an important role in
ophthalmology and automatic analysis of the OCT is of real importance: image denoising …

Background Diabetic retinopathy (DR) and diabetic macular edema (DME) are major causes
of visual impairment that challenge global vision health. New strategies are needed to tackle …

Introduction Age-related macular degeneration (AMD) is one of the leading causes of vision
impairment globally and early detection is crucial to prevent vision loss. However, the …