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Automated glaucoma screening and diagnosis based on retinal fundus images using deep learning approaches: A comprehensive review
Glaucoma is a chronic eye disease that may lead to permanent vision loss if it is not
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
diagnosed and treated at an early stage. The disease originates from an irregular behavior …
Detecting glaucoma with only OCT: Implications for the clinic, research, screening, and AI development
A method for detecting glaucoma based only on optical coherence tomography (OCT) is of
potential value for routine clinical decisions, for inclusion criteria for research studies and …
potential value for routine clinical decisions, for inclusion criteria for research studies and …
Glaucoma detection and classification using improved U-Net Deep Learning Model
Glaucoma is prominent in a variety of nations, with the United States and Europe being two
of the most famous. Glaucoma now affects around 78 million people throughout the world …
of the most famous. Glaucoma now affects around 78 million people throughout the world …
Automatic diagnosis of glaucoma from retinal images using deep learning approach
Glaucoma is characterized by increased intraocular pressure and damage to the optic
nerve, which may result in irreversible blindness. The drastic effects of this disease can be …
nerve, which may result in irreversible blindness. The drastic effects of this disease can be …
A fast and fully automated system for glaucoma detection using color fundus photographs
This paper presents a low computationally intensive and memory efficient convolutional
neural network (CNN)-based fully automated system for detection of glaucoma, a leading …
neural network (CNN)-based fully automated system for detection of glaucoma, a leading …
A comprehensive review of deep learning strategies in retinal disease diagnosis using fundus images
In recent years, there has been an unprecedented growth in computer vision and deep
learning implementation owing to the exponential rise of computation infrastructure. The …
learning implementation owing to the exponential rise of computation infrastructure. The …
Efficient feature selection based novel clinical decision support system for glaucoma prediction from retinal fundus images
The process of feature selection (FS) is vital aspect of machine learning (ML) model's
performance enhancement where the objective is the selection of the most influential subset …
performance enhancement where the objective is the selection of the most influential subset …
ODGNet: a deep learning model for automated optic disc localization and glaucoma classification using fundus images
Glaucoma is one of the prevalent causes of blindness in the modern world. It is a salient
chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can …
chronic eye disease that leads to irreversible vision loss. The impediments of glaucoma can …
Artificial intelligence in glaucoma: opportunities, challenges, and future directions
Artificial intelligence (AI) has shown excellent diagnostic performance in detecting various
complex problems related to many areas of healthcare including ophthalmology. AI …
complex problems related to many areas of healthcare including ophthalmology. AI …
Segmentation and Classification of Glaucoma Using U‐Net with Deep Learning Model
Glaucoma is the second most common cause for blindness around the world and the third
most common in Europe and the USA. Around 78 million people are presently living with …
most common in Europe and the USA. Around 78 million people are presently living with …