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 …
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 …
PAPILA: Dataset with fundus images and clinical data of both eyes of the same patient for glaucoma assessment
O Kovalyk, J Morales-Sánchez, R Verdú-Monedero… - Scientific Data, 2022 - nature.com
Glaucoma is one of the ophthalmological diseases that frequently causes loss of vision in
today's society. Previous studies assess which anatomical parameters of the optic nerve can …
today's society. Previous studies assess which anatomical parameters of the optic nerve can …
Robust optic disc and cup segmentation with deep learning for glaucoma detection
Glaucoma is rated as the leading cause of irreversible vision loss worldwide. Early detection
of glaucoma is important for providing timely treatment and minimizing the vision loss. In this …
of glaucoma is important for providing timely treatment and minimizing the vision loss. In this …
Deep learning for diabetic retinopathy analysis: a review, research challenges, and future directions
Deep learning (DL) enables the creation of computational models comprising multiple
processing layers that learn data representations at multiple levels of abstraction. In the …
processing layers that learn data representations at multiple levels of abstraction. In the …
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 …
Deep guidance network for biomedical image segmentation
Segmentation of 2D images is a fundamental problem for biomedical image analysis. The
most widely used architecture for biomedical image segmentation is U-Net. U-Net introduces …
most widely used architecture for biomedical image segmentation is U-Net. U-Net introduces …
[HTML][HTML] Artificial Intelligence-based computer-aided diagnosis of glaucoma using retinal fundus images
Glaucoma is one of the most common chronic diseases that may lead to irreversible vision
loss. The number of patients with permanent vision loss due to glaucoma is expected to …
loss. The number of patients with permanent vision loss due to glaucoma is expected to …
Automated detection of Glaucoma using deep learning convolution network (G-net)
M Juneja, S Singh, N Agarwal, S Bali, S Gupta… - Multimedia Tools and …, 2020 - Springer
Glaucoma is an ocular disease that is the leading cause of irreversible blindness due to an
increased Intraocular pressure resulting in damage to the optic nerve of eye. A common …
increased Intraocular pressure resulting in damage to the optic nerve of eye. A common …