In the context in which severe visual impairment significantly affects human life, this article
emphasizes the potential of Artificial Intelligence (AI) and Visible Light Communications …

Background Anterior segment optical coherence tomography (AS-OCT) constitutes an
important imaging modality to examine the anterior eye, which is commonly used in …

Deep learning has dramatically improved object recognition, speech recognition, medical
image analysis and many other fields. Optical coherence tomography (OCT) has become a …

Cornea is the outmost layer of an eye helps to focuses the light rays towards the retinal layer
of the eye. The irregular thickness of the corneal layer results in poor focus of light rays over …

Abstract The World Health Organization (WHO) estimates that 285 million people are
visually impaired worldwide, with 39 million blinds. Glaucoma, cataract, age-related macular …

Comparison of medical images is frequently needed for diagnosis or evaluation of a
progressive disease. The comparison is performed by alignment and registration of images …

Retinal optical coherence tomography (OCT) with intraretinal layer segmentation is
increasingly used not only in ophthalmology but also for neurological diseases such as …

Segmentation of corneal layer interfaces in optical coherence tomography (OCT) images is
necessary to generate thickness maps used for cornea diagnosis. In this paper, we propose …

Accurate delineation of the corneal micro-layers depicted on optical coherence tomography
(OCT) plays an important role in computerized detection and diagnosis of various corneal …

Automatic disease detection systems based on Convolutional Neural Networks (CNNs) are
proposed in this paper for helping the medical professionals in the detection of diseases …