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 …
Deep learning based computer-aided diagnosis systems for diabetic retinopathy: A survey
N Asiri, M Hussain, F Al Adel, N Alzaidi - Artificial intelligence in medicine, 2019 - Elsevier
Diabetic retinopathy (DR) results in vision loss if not treated early. A computer-aided
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
diagnosis (CAD) system based on retinal fundus images is an efficient and effective method …
Refuge challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographs
Glaucoma is one of the leading causes of irreversible but preventable blindness in working
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
age populations. Color fundus photography (CFP) is the most cost-effective imaging …
Optic disc and cup segmentation methods for glaucoma detection with modification of U-Net convolutional neural network
A Sevastopolsky - Pattern Recognition and Image Analysis, 2017 - Springer
Glaucoma is the second leading cause of blindness all over the world, with approximately
60 million cases reported worldwide in 2010. If undiagnosed in time, glaucoma causes …
60 million cases reported worldwide in 2010. If undiagnosed in time, glaucoma causes …
Deep image mining for diabetic retinopathy screening
Deep learning is quickly becoming the leading methodology for medical image analysis.
Given a large medical archive, where each image is associated with a diagnosis, efficient …
Given a large medical archive, where each image is associated with a diagnosis, efficient …
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 …
A novel approach for diabetic retinopathy screening using asymmetric deep learning features
Automatic screening of diabetic retinopathy (DR) is a well-identified area of research in the
domain of computer vision. It is challenging due to structural complexity and a marginal …
domain of computer vision. It is challenging due to structural complexity and a marginal …
Artificial intelligence screening for diabetic retinopathy: the real-world emerging application
Abstract Purpose of Review This paper systematically reviews the recent progress in
diabetic retinopathy screening. It provides an integrated overview of the current state of …
diabetic retinopathy screening. It provides an integrated overview of the current state of …
Dense fully convolutional segmentation of the optic disc and cup in colour fundus for glaucoma diagnosis
Glaucoma is a group of eye diseases which can cause vision loss by damaging the optic
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …
nerve. Early glaucoma detection is key to preventing vision loss yet there is a lack of …
Automated segmentation of the optic disc from fundus images using an asymmetric deep learning network
L Wang, J Gu, Y Chen, Y Liang, W Zhang, J Pu… - Pattern recognition, 2021 - Elsevier
Accurate segmentation of the optic disc (OD) regions from colour fundus images is a critical
procedure for computer-aided diagnosis of glaucoma. We present a novel deep learning …
procedure for computer-aided diagnosis of glaucoma. We present a novel deep learning …