Digital technology, tele-medicine and artificial intelligence in ophthalmology: A global perspective

JPO Li, H Liu, DSJ Ting, S Jeon, RVP Chan… - Progress in retinal and …, 2021 - Elsevier
The simultaneous maturation of multiple digital and telecommunications technologies in
2020 has created an unprecedented opportunity for ophthalmology to adapt to new models …

[HTML][HTML] Artificial intelligence in retina

U Schmidt-Erfurth, A Sadeghipour, BS Gerendas… - Progress in retinal and …, 2018 - Elsevier
Major advances in diagnostic technologies are offering unprecedented insight into the
condition of the retina and beyond ocular disease. Digital images providing millions of …

Performance of deep learning architectures and transfer learning for detecting glaucomatous optic neuropathy in fundus photographs

M Christopher, A Belghith, C Bowd, JA Proudfoot… - Scientific reports, 2018 - nature.com
The ability of deep learning architectures to identify glaucomatous optic neuropathy (GON)
in fundus photographs was evaluated. A large database of fundus photographs (n= 14,822) …

Promising artificial intelligence-machine learning-deep learning algorithms in ophthalmology

L Balyen, T Peto - The Asia-Pacific Journal of Ophthalmology, 2019 - journals.lww.com
The lifestyle of modern society has changed significantly with the emergence of artificial
intelligence (AI), machine learning (ML), and deep learning (DL) technologies in recent …

Scleral structure and biomechanics

C Boote, IA Sigal, R Grytz, Y Hua, TD Nguyen… - Progress in retinal and …, 2020 - Elsevier
As the eye's main load-bearing connective tissue, the sclera is centrally important to vision.
In addition to cooperatively maintaining refractive status with the cornea, the sclera must …

Optical coherence tomography and glaucoma

A Geevarghese, G Wollstein, H Ishikawa… - Annual review of …, 2021 - annualreviews.org
Early detection and monitoring are critical to the diagnosis and management of glaucoma, a
progressive optic neuropathy that causes irreversible blindness. Optical coherence …

DRUNET: a dilated-residual U-Net deep learning network to segment optic nerve head tissues in optical coherence tomography images

SK Devalla, PK Renukanand, BK Sreedhar… - Biomedical optics …, 2018 - opg.optica.org
Given that the neural and connective tissues of the optic nerve head (ONH) exhibit complex
morphological changes with the development and progression of glaucoma, their …

Deep learning based retinal OCT segmentation

M Pekala, N Joshi, TYA Liu, NM Bressler… - Computers in biology …, 2019 - Elsevier
We look at the recent application of deep learning (DL) methods in automated fine-grained
segmentation of spectral domain optical coherence tomography (OCT) images of the retina …

[HTML][HTML] A review of deep learning for screening, diagnosis, and detection of glaucoma progression

AC Thompson, AA Jammal… - … vision science & …, 2020 - iovs.arvojournals.org
Because of recent advances in computing technology and the availability of large datasets,
deep learning has risen to the forefront of artificial intelligence, with performances that often …

Deep-learning-based prediction of late age-related macular degeneration progression

Q Yan, DE Weeks, H Xin, A Swaroop… - Nature machine …, 2020 - nature.com
Both genetic and environmental factors influence the etiology of age-related macular
degeneration (AMD), a leading cause of blindness. AMD severity is primarily measured by …