… , and ophthalmology is not the exception. In particular, deep learning methods have been …
of clinical signs and the classification of ocular diseases. This represents a great potential to …

… to the advancement in deep learning techniques, but the majority of them are limited to a …
disease. In this paper we propose the study of various deep learning models for eyes disease …

… ocular pathology detection methods based on deep learning. First, we study the existing
methods … processing and we analyze the proposed neural network structures. Subsequently, we …

… various eye diseases. This review provides an analysis of deep learning techniques
commonly used for eye disease prediction. The techniques discussed include Convolutional …

… of machine learning techniques for diagnosis and disease … Many ocular diseases leading
to blindness can be halted or … ocular disease diagnosis and monitoring based on machine …

… eye ailments. This paper proposes a system that can identify various types of eye diseases
through deep learning. … The datasets [20–22] of this ocular disease are highly imbalanced. …

… motivation of this paper is to pave way for young researchers to perceive eye ocular
disorder and to work in the field of ophthalmology to develop a fully autonomous system. …

… , and management of eye disease. This revolution is being led by computer-based deep
learning (DL) technology that has the potential to change the practice of ophthalmology. DL is …

… in diagnosing ophthalmic diseases have been published … techniques have been shown to
be an effective diagnostic tool for detecting and identifying various eye diseases in ophthalmic …

… Major ophthalmic diseases which DL techniques have been used for include diabetic
retinopathy (DR),11–15 glaucoma,11 16 age-related macular degeneration (AMD)11 17 18 and …