The use of fundus images for the early screening of eye diseases is of great clinical
importance. Due to its powerful performance, deep learning is becoming more and more …

Early detection of lesions is of great significance for treating fundus diseases. Fundus
photography is an effective and convenient screening technique by which common fundus …

Aim To explore and evaluate an appropriate deep learning system (DLS) for the detection of
12 major fundus diseases using colour fundus photography. Methods Diagnostic …

Purpose: We aim to present effective and computer aided diagnostics in the field of
ophthalmology and improve eye health. This study aims to create an automated deep …

Glaucoma is an eye condition that leads to loss of vision and blindness if not diagnosed in
time. Diagnosis requires human experts to estimate in a limited time subtle changes in the …

Purpose To assess the performance of deep learning algorithms for different tasks in retinal
fundus images:(1) detection of retinal fundus images versus optical coherence tomography …

Fundus diseases classification is vital for the health of human beings. However, most of
existing methods detect diseases by means of single angle fundus images, which lead to the …

With the recent developments in deep learning technologies, artificial intelligence (AI) has
gradually been transformed from cutting-edge technology into practical applications. AI …

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

Deep learning applications in ophthalmology : Current Opinion in Ophthalmology Deep learning
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