Applications of deep learning in fundus images: A review

T Li, W Bo, C Hu, H Kang, H Liu, K Wang, H Fu - Medical Image Analysis, 2021 - Elsevier
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 …

Ophthalmic diagnosis using deep learning with fundus images–A critical review

S Sengupta, A Singh, HA Leopold, T Gulati… - Artificial intelligence in …, 2020 - Elsevier
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 …

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 …

Computer-aided diagnosis of glaucoma using fundus images: A review

Y Hagiwara, JEW Koh, JH Tan, SV Bhandary… - Computer methods and …, 2018 - Elsevier
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 …

Cataract detection using convolutional neural network with VGG-19 model

MSM Khan, M Ahmed, RZ Rasel… - 2021 IEEE World AI IoT …, 2021 - ieeexplore.ieee.org
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 …

[HTML][HTML] Multiple ocular disease diagnosis using fundus images based on multi-label deep learning classification

O Ouda, E AbdelMaksoud, AA Abd El-Aziz, M Elmogy - Electronics, 2022 - mdpi.com
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 …