Recent trends and advances in fundus image analysis: A review
Automated retinal image analysis holds prime significance in the accurate diagnosis of
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
various critical eye diseases that include diabetic retinopathy (DR), age-related macular …
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 …
Deep learning for optic disc segmentation and glaucoma diagnosis on retinal images
Glaucoma is a major global cause of blindness. As the symptoms of glaucoma appear, when
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
the disease reaches an advanced stage, proper screening of glaucoma in the early stages is …
Glaucoma detection based on deep convolutional neural network
Glaucoma is a chronic and irreversible eye disease, which leads to deterioration in vision
and quality of life. In this paper, we develop a deep learning (DL) architecture with …
and quality of life. In this paper, we develop a deep learning (DL) architecture with …
A novel hybrid approach based on deep CNN to detect glaucoma using fundus imaging
Glaucoma is one of the eye diseases stimulated by the fluid pressure that increases in the
eyes, damaging the optic nerves and causing partial or complete vision loss. As Glaucoma …
eyes, damaging the optic nerves and causing partial or complete vision loss. As Glaucoma …
Automatic feature learning for glaucoma detection based on deep learning
Glaucoma is a chronic and irreversible eye disease in which the optic nerve is progressively
damaged, leading to deterioration in vision and quality of life. In this paper, we present an …
damaged, leading to deterioration in vision and quality of life. In this paper, we present an …
[HTML][HTML] Detection of glaucoma using retinal fundus images: A comprehensive review
Content-based image analysis and computer vision techniques are used in various health-
care systems to detect the diseases. The abnormalities in a human eye are detected through …
care systems to detect the diseases. The abnormalities in a human eye are detected through …
A review on glaucoma disease detection using computerized techniques
Glaucoma is an incurable eye disease that leads to slow progressive degeneration of the
retina. It cannot be fully cured, however, its progression can be controlled in case of early …
retina. It cannot be fully cured, however, its progression can be controlled in case of early …
Fundus image classification methods for the detection of glaucoma: A review
Glaucoma is a neurodegenerative illness and is considered as a standout amongst the most
widely recognized reasons for visual impairment. Nerve's degeneration is an irretrievable …
widely recognized reasons for visual impairment. Nerve's degeneration is an irretrievable …
Machine learning techniques for ophthalmic data processing: a review
MH Sarhan, MA Nasseri, D Zapp… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Machine learning and especially deep learning techniques are dominating medical image
and data analysis. This article reviews machine learning approaches proposed for …
and data analysis. This article reviews machine learning approaches proposed for …