Artificial intelligence is having an important effect on different areas of medicine, and
ophthalmology is not the exception. In particular, deep learning methods have been applied …

Deep learning applications in ophthalmology : Current Opinion in Ophthalmology Deep learning
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Deep learning is an emerging technology with numerous potential applications in
Ophthalmology. Deep learning tools have been applied to different diagnostic modalities …

The automated diagnosis of ophthalmologic diseases to assist the medical ophthalmologist
in their daily practice is the subject of much research. Recently, image processing based on …

Ocular pathology detection from fundus images presents an important challenge on health
care. In fact, each pathology has different severity stages that may be deduced by verifying …

An overview of the applications of deep learning in ophthalmic diagnosis using retinal
fundus images is presented. We also review various retinal image datasets that can be used …

Data from the World Health Organization indicate that billion cases of visual impairment
could be avoided, mainly with regular examinations. However, the absence of specialists in …

Glaucoma, diabetic retinopathy, diabetic hypertension (DHR), Cataract, and age-related
macular degeneration are some of the most common and important retinal diseases. A …

Diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes
of vision loss and blindness worldwide. They tend to be asymptomatic in the early phase of …

This survey paper presents a detailed overview of the applications for deep learning in
ophthalmic diagnosis using retinal imaging techniques. The need of automated computer …