Artificial intelligence algorithms to diagnose glaucoma and detect glaucoma progression: translation to clinical practice

AS Mursch-Edlmayr, WS Ng… - … vision science & …, 2020 - tvst.arvojournals.org
Purpose: This concise review aims to explore the potential for the clinical implementation of
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …

Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images

U Raghavendra, H Fujita, SV Bhandary, A Gudigar… - Information …, 2018 - Elsevier
Glaucoma progressively affects the optic nerve and may cause partial or complete vision
loss. Raised intravascular pressure is the only factor which can be modified to prevent …

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 …

Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning

R Hemelings, B Elen, J Barbosa-Breda… - Acta …, 2020 - Wiley Online Library
Purpose To assess the use of deep learning (DL) for computer‐assisted glaucoma
identification, and the impact of training using images selected by an active learning …

DilUnet: A U-net based architecture for blood vessels segmentation

S Hussain, F Guo, W Li, Z Shen - Computer Methods and Programs in …, 2022 - Elsevier
Background and objective Retinal image segmentation can help clinicians detect
pathological disorders by studying changes in retinal blood vessels. This early detection can …

A two layer sparse autoencoder for glaucoma identification with fundus images

U Raghavendra, A Gudigar, SV Bhandary… - Journal of medical …, 2019 - Springer
Glaucoma is a type of eye condition which may result in partial or consummate vision loss.
Higher intraocular pressure is the leading cause for this condition. Screening for glaucoma …

Glaucoma disease diagnosis with an artificial algae-based deep learning algorithm

MH Ibrahim, M Hacibeyoglu, A Agaoglu… - Medical & Biological …, 2022 - Springer
Glaucoma disease is optic neuropathy; in glaucoma, the optic nerve is damaged because
the long duration of intraocular pressure can be caused blindness. Nowadays, deep …

[PDF][PDF] Grid color moment features in glaucoma classification

A Ghosh, A Sarkar, AS Ashour… - International Journal of …, 2015 - academia.edu
Automated diagnosis of glaucoma disease is focused on the analysis of the retinal images to
localize, perceive and evaluate the optic disc. Clinical decision support system (CDSS) is …

Automated glaucoma detection using center slice of higher order statistics

R Sharma, P Sircar, RB Pachori… - Journal of Mechanics …, 2019 - World Scientific
Glaucoma is one of the leading causes of blindness. The raised intraocular pressure is one
of the important modifiable risk factor causing glaucomatous optic nerve damage …

[PDF][PDF] AUTOMATIC GLAUCOMA DETECTION BASED ON THE TYPE OF FEATURES USED: A REVIEW.

A Septiarini, A Harjoko - Journal of Theoretical & Applied Information …, 2015 - academia.edu
Glaucoma is an eye disease that is the second most common cause of blindness in
worldwide. The characteristic of glaucoma are high eye pressure, loss of vision gradually …