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Applications of deep learning in fundus images: A review
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 …
importance. Due to its powerful performance, deep learning is becoming more and more …
Ophthalmic diagnosis using deep learning with fundus images–A critical review
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 …
fundus images is presented. We describe various retinal image datasets that can be used for …
Application of machine learning in ophthalmic imaging modalities
Y Tong, W Lu, Y Yu, Y Shen - Eye and Vision, 2020 - Springer
In clinical ophthalmology, a variety of image-related diagnostic techniques have begun to
offer unprecedented insights into eye diseases based on morphological datasets with …
offer unprecedented insights into eye diseases based on morphological datasets with …
Computer-aided diagnosis of glaucoma using fundus images: A review
Background and objectives Glaucoma is an eye condition which leads to permanent
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
blindness when the disease progresses to an advanced stage. It occurs due to inappropriate …
Cataract detection using convolutional neural network with VGG-19 model
Cataract is one of the prevalent causes of visual impairment and blindness worldwide. There
is around 50% of overall blindness. Therefore, an early detection and prevention of cataract …
is around 50% of overall blindness. Therefore, an early detection and prevention of cataract …
[HTML][HTML] Multiple ocular disease diagnosis using fundus images based on multi-label deep learning classification
Designing computer-aided diagnosis (CAD) systems that can automatically detect ocular
diseases (ODs) has become an active research field in the health domain. Although the …
diseases (ODs) has become an active research field in the health domain. Although the …