Predicting glaucoma progression using deep learning framework guided by generative algorithm
Glaucoma is a slowly progressing optic neuropathy that may eventually lead to blindness.
To help patients receive customized treatment, predicting how quickly the disease will …
To help patients receive customized treatment, predicting how quickly the disease will …
[HTML][HTML] Deepfakes in ophthalmology: applications and realism of synthetic retinal images from generative adversarial networks
Purpose Generative adversarial networks (GANs) are deep learning (DL) models that can
create and modify realistic-appearing synthetic images, or deepfakes, from real images. The …
create and modify realistic-appearing synthetic images, or deepfakes, from real images. The …
Prediction of visual field progression with serial optic disc photographs using deep learning
Aim We tested the hypothesis that visual field (VF) progression can be predicted with a deep
learning model based on longitudinal pairs of optic disc photographs (ODP) acquired at …
learning model based on longitudinal pairs of optic disc photographs (ODP) acquired at …
Impact of generative modeling for fundus image augmentation with improved and degraded quality in the classification of glaucoma
R Leonardo, J Gonçalves, A Carreiro, B Simões… - IEEE …, 2022 - ieeexplore.ieee.org
Glaucoma is a heterogeneous group of diseases characterised by cupping of the optic nerve
head and visual field damage, starting with a progressive loss of vision that leads to …
head and visual field damage, starting with a progressive loss of vision that leads to …
Current Status, Hotspots, and Prospects of Artificial Intelligence in Ophthalmology: A Bibliometric Analysis (2003–2023)
J Deng, YH Qin - Ophthalmic Epidemiology, 2024 - Taylor & Francis
Purpose Artificial intelligence (AI) has gained significant attention in ophthalmology. This
paper reviews, classifies, and summarizes the research literature in this field and aims to …
paper reviews, classifies, and summarizes the research literature in this field and aims to …
[HTML][HTML] Efficacy of smoothing algorithms to enhance detection of visual field progression in glaucoma
Purpose To evaluate and compare the effectiveness of nearest neighbor (NN)-and
variational autoencoder (VAE)-smoothing algorithms to reduce variability and enhance the …
variational autoencoder (VAE)-smoothing algorithms to reduce variability and enhance the …
[HTML][HTML] Prediction of Visual Field Progression with Baseline and Longitudinal Structural Measurements Using Deep Learning
Purpose Identifying glaucoma patients at high risk of progression based on widely available
structural data is an unmet task in clinical practice. We test the hypothesis that baseline or …
structural data is an unmet task in clinical practice. We test the hypothesis that baseline or …
Prediction of Central Visual Field Measures From Macular OCT Volume Scans With Deep Learning
Purpose: Predict central 10 global and local visual field (VF) measurements from macular
optical coherence tomography (OCT) volume scans with deep learning (DL). Methods: This …
optical coherence tomography (OCT) volume scans with deep learning (DL). Methods: This …
Deep Learning to Predict Glaucoma Progression using Structural Changes in the Eye
S Mandal - 2023 - search.proquest.com
Glaucoma is a group of chronic eye diseases characterized by optic neuropathy, which
causes irreversible vision loss. It is caused by progressive degeneration of the optic nerve …
causes irreversible vision loss. It is caused by progressive degeneration of the optic nerve …
Domain adaptation using DCGAN for glaucoma diagnosis
S Chourasia, R Bhojane, R Patil… - 2023 IEEE 8th …, 2023 - ieeexplore.ieee.org
The second most prevalent eye condition is glaucoma to cause neurodegenerative sickness
among eye conditions. Improper intraocular pressure in the human eye is the main reported …
among eye conditions. Improper intraocular pressure in the human eye is the main reported …