Application of generative adversarial networks (GAN) for ophthalmology image domains: a survey
Background Recent advances in deep learning techniques have led to improved diagnostic
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
abilities in ophthalmology. A generative adversarial network (GAN), which consists of two …
Generative adversarial networks in medicine: important considerations for this emerging innovation in artificial intelligence
The advent of artificial intelligence (AI) and machine learning (ML) has revolutionized the
field of medicine. Although highly effective, the rapid expansion of this technology has …
field of medicine. Although highly effective, the rapid expansion of this technology has …
A novel deep learning conditional generative adversarial network for producing angiography images from retinal fundus photographs
Fluorescein angiography (FA) is a procedure used to image the vascular structure of the
retina and requires the insertion of an exogenous dye with potential adverse side effects …
retina and requires the insertion of an exogenous dye with potential adverse side effects …
[HTML][HTML] Endpoints for clinical trials in ophthalmology
With the identification of novel targets, the number of interventional clinical trials in
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
ophthalmology has increased. Visual acuity has for a long time been considered the gold …
The AI revolution in glaucoma: Bridging challenges with opportunities
F Li, D Wang, Z Yang, Y Zhang, J Jiang, X Liu… - Progress in Retinal and …, 2024 - Elsevier
Recent advancements in artificial intelligence (AI) herald transformative potentials for
reshaping glaucoma clinical management, improving screening efficacy, sharpening …
reshaping glaucoma clinical management, improving screening efficacy, sharpening …
Ultrasound-induced reorientation for multi-angle optical coherence tomography
Organoid and spheroid technology provide valuable insights into developmental biology
and oncology. Optical coherence tomography (OCT) is a label-free technique that has …
and oncology. Optical coherence tomography (OCT) is a label-free technique that has …
Evaluation of generative adversarial networks for high-resolution synthetic image generation of circumpapillary optical coherence tomography images for glaucoma
Importance Deep learning (DL) networks require large data sets for training, which can be
challenging to collect clinically. Generative models could be used to generate large …
challenging to collect clinically. Generative models could be used to generate large …
Describing the structural phenotype of the glaucomatous optic nerve head using artificial intelligence
Purpose To develop a novel deep-learning approach that can describe the structural
phenotype of the glaucomatous optic nerve head (ONH) and can be used as a robust …
phenotype of the glaucomatous optic nerve head (ONH) and can be used as a robust …
[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 …
Artificial intelligence and deep learning in glaucoma: current state and future prospects
MJA Girard, L Schmetterer - Progress in Brain Research, 2020 - Elsevier
Over the past few years, there has been an unprecedented and tremendous excitement for
artificial intelligence (AI) research in the field of Ophthalmology; this has naturally been …
artificial intelligence (AI) research in the field of Ophthalmology; this has naturally been …