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Deep learning in ophthalmology: the technical and clinical considerations
The advent of computer graphic processing units, improvement in mathematical models and
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
availability of big data has allowed artificial intelligence (AI) using machine learning (ML) …
[HTML][HTML] Artificial intelligence in retina
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …
condition of the retina and beyond ocular disease. Digital images providing millions of …
Multi-stage glaucoma classification using pre-trained convolutional neural networks and voting-based classifier fusion
Aim: To design an automated glaucoma detection system for early detection of glaucoma
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
using fundus images. Background: Glaucoma is a serious eye problem that can cause vision …
[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 …
Clinical applications of artificial intelligence in glaucoma
Ophthalmology is one of the major imaging-intensive fields of medicine and thus has
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …
potential for extensive applications of artificial intelligence (AI) to advance diagnosis, drug …
[HTML][HTML] Glaucoma diagnosis in the era of deep learning: A survey
Glaucoma, a leading cause of irreversible blindness worldwide, poses significant diagnostic
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
challenges due to its reliance on subjective evaluation. Recent advances in computer vision …
Automated segmentation of optic disc and optic cup for glaucoma assessment using improved UNET++ architecture
Glaucoma is one of the leading cause of blindness for over 60 million people around the
world. Since a cure for glaucoma doesn't yet exist, early screening and diagnosis become …
world. Since a cure for glaucoma doesn't yet exist, early screening and diagnosis become …
CDED-Net: Joint segmentation of optic disc and optic cup for glaucoma screening
Glaucoma is an eye disease that can cause loss of vision by damaging the optic nerve. It is
the world's second leading cause of blindness after cataracts. Early diagnosis of glaucoma …
the world's second leading cause of blindness after cataracts. Early diagnosis of glaucoma …
A (eye): a review of current applications of artificial intelligence and machine learning in ophthalmology
Artificial intelligence (AI) is a branch of computer science that aims to enable computers to
perform human-like tasks. Although AI is a broad discipline, machine learning is a specific …
perform human-like tasks. Although AI is a broad discipline, machine learning is a specific …
Direct cup-to-disc ratio estimation for glaucoma screening via semi-supervised learning
Glaucoma is a chronic eye disease that leads to irreversible vision loss. The Cup-to-Disc
Ratio (CDR) serves as the most important indicator for glaucoma screening and plays a …
Ratio (CDR) serves as the most important indicator for glaucoma screening and plays a …