… Retinal diseases are the main cause of severe vision loss in … as diabetic retinopathy (DR),
glaucomatous retinopathy and … The application of artificial intelligence (AI) in ophthalmology …

… The data-driven deep learning technology has created unprecedented opportunities for
major breakthroughs in the imaging data-based automated diagnoses in ophthalmology, …

… The retinal fundus image is passed through the combined … (AMD, DR, and glaucoma) fundus
images. They extracted the … -based approach for severity detection of diabetic retinopathy …

… of DR on fundus images achieving an accuracy of 88.72%. The … fundus diseases, such as
DR, glaucoma, cataract and … of diabetic retinopathy stages using digital fundus images. J Med …

… , automatic diagnosis of eye diseases with medical imaging … based on object segmentation
and eye diseases diagnosis and … -based convolutional networks for accurate object detection …

… accuracy and sensitivity in glaucoma detection. Li et al.[26] developed a DLS for GON detection
through color fundus photographs. … Early detection of diabetic retinopathy based on deep …

… fundus photographs and optical coherence tomography (OCT) for glaucomatous optic
neuropathy (GON) detection… in imaging for glaucoma assessment is efficient and accurate, which …

… According to findings based upon dilated ophthalmoscopy and … with color fundus photographs
and fundus FFA were taken as … The P value was directly calculated by Fisher's exact test. …

… diagnosis of certain retinal diseases. In this article, we will discuss how classification, detection,
… Classification of cataract fundus image based on deep learning[C]. Proceedings of IEEE …

… Using diagnostic test research method, 200 fundus images (200 eyes) were collected from
the glaucoma … helpful for improving the accurate rate of diagnosis and effectiveness of doctors …