AI-based Advanced approaches and dry eye disease detection based on multi-source evidence: Cases, applications, issues, and future directions
This study explores the potential of Artificial Intelligence (AI) in early screening and
prognosis of Dry Eye Disease (DED), aiming to enhance the accuracy of therapeutic …
prognosis of Dry Eye Disease (DED), aiming to enhance the accuracy of therapeutic …
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 …
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
AR Prananda, EL Frannita, AHT Hutami, MR Maarif… - Applied Sciences, 2022 - mdpi.com
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 …
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 …
Advancing glaucoma care: integrating artificial intelligence in diagnosis, management, and progression detection
Glaucoma, the leading cause of irreversible blindness worldwide, comprises a group of
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …
progressive optic neuropathies requiring early detection and lifelong treatment to preserve …
Automated retinal disease classification using hybrid transformer model (SViT) using optical coherence tomography images
GR Hemalakshmi, M Murugappan… - Neural Computing and …, 2024 - Springer
Optical coherence tomography (OCT) is a widely used imaging technique in ophthalmology
for diagnosis and treatment. Recent advances in deep neural networks (DNNs) and vision …
for diagnosis and treatment. Recent advances in deep neural networks (DNNs) and vision …
Multi-Dataset Comparison of Vision Transformers and Convolutional Neural Networks for Detecting Glaucomatous Optic Neuropathy from Fundus Photographs
EE Hwang, D Chen, Y Han, L Jia, J Shan - Bioengineering, 2023 - mdpi.com
Glaucomatous optic neuropathy (GON) can be diagnosed and monitored using fundus
photography, a widely available and low-cost approach already adopted for automated …
photography, a widely available and low-cost approach already adopted for automated …