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 …
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 …
Retinal nerve fiber layer analysis using deep learning to improve glaucoma detection in eye disease assessment
Recently, the development of a rapid detection approach for glaucoma has been widely
proposed to assist medical personnel in detecting glaucoma disease thanks to the …
proposed to assist medical personnel in detecting glaucoma disease thanks to the …
Novel technologies in artificial intelligence and telemedicine for glaucoma screening
Purpose: To provide an overview of novel technologies in telemedicine and artificial
intelligence (AI) approaches for cost-effective glaucoma screening. Methods/Results: A …
intelligence (AI) approaches for cost-effective glaucoma screening. Methods/Results: A …
Automated Classification of Ophthalmic Disorders Using Color Fundus Images
This study proposes a novel methodology for classifying ocular diseases using
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …
convolutional neural networks (CNNs) and specialized loss functions. The proposed model …
Retina fundus photograph-based artificial intelligence algorithms in medicine: a systematic review
A Grzybowski, K **, J Zhou, X Pan, M Wang… - Ophthalmology and …, 2024 - Springer
We conducted a systematic review of research in artificial intelligence (AI) for retinal fundus
photographic images. We highlighted the use of various AI algorithms, including deep …
photographic images. We highlighted the use of various AI algorithms, including deep …