Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …

Artificial intelligence is advancing rapidly and making its way into all areas of our lives. This
review discusses developments and potential practices regarding the use of artificial …

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 …

Retinal blood vessel segmentation plays an important part in the early diagnosis and
treatment of eye disease. It is a tool for ophthalmologists. Many diseases can be identified by …

Automatic fovea localization is a challenging issue. In this article, we focus on the study of
fovea localization and propose a robust fovea localization method. We propose concentric …

Researchers are trying to tap the immense potential of big data to revolutionize all aspects of
societal activity and to assist in having well informed decisions. Healthcare being one such …

Background: Age-related macular degeneration (AMD) is one of the most severe vision-
threatening diseases, and yet Fundus Fluorescein Angiography (FFA) is the gold standard …

In past decades, retinal diseases become more common and affects people at all age
grounds over the globe. The retinal disease affects the eye vision owing to the blurred …

Machine learning techniques have been successfully applied to support medical decision
making of cancer, heart diseases and degenerative diseases of the brain. In particular, deep …

Son yıllarda, hızla gelişmekte ve hemen bütün yaşam alanlarında kendine yer edinmekte
olan yapay zekanın; oftalmoloji alanında kullanımıyla ilgili gelişmeleri ve olası uygulamaları …