… ocular pathology detection presents a multiclass classification with a complex resolution
principle. Several detection methods of ocular pathologies from fundus images … detection, due to …

… for simultaneous diagnosis of interleaved ODs from color fundus images. … diagnose various
ODs from color fundus images. We utilized an ML dataset that includes 45 different diseases. …

… ocular disease utilizing data from fundus images to differentiate OD affected people. The raw
fundus images … Secondly, some well known deep neural networks trained on large image …

… from eye fundus images. This article presents a comprehensive study of different deep
learning strategies employed in recent times for the diagnosis of five major eye diseases, ie, …

… possible fundus images [3]. This review focuses on digital imaging of the human eye fundus
… techniques was not readily accepted for diagnosis and screening in ocular fundus imaging. …

… the challenge of detecting multiple ocular diseases in fundus images. This study aims to
classify the fundus image into eight different types of ocular diseases. The Fundus-DeepNet …

… detection of a variety of eye diseases. In this study, we combined several preprocessing
approaches with convolutional neural networks to accurately detect COD in eye fundus images. …

… features like the optic disc (OD), fovea and retinal blood vessels, pathologies … retinal exudates
are discussed. We discuss the automated detection of diabetic eye diseases using image …

… ocular diseases, their symptoms, traditional diagnosis … screening and detection using
retinal fundus images. Additionally, we review existing systems used for automatic diagnosis and …

… A variety of advanced studies relating to the detection of diabetic eye disease have recently
… diabetic eye disease detection from several aspects, namely: i) available datasets, ii) image …