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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 …
artificial intelligence (AI) strategies for detecting glaucoma and monitoring glaucoma …
Deep convolution neural network for accurate diagnosis of glaucoma using digital fundus images
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 …
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
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 …
Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learning
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 …
identification, and the impact of training using images selected by an active learning …
DilUnet: A U-net based architecture for blood vessels segmentation
Background and objective Retinal image segmentation can help clinicians detect
pathological disorders by studying changes in retinal blood vessels. This early detection can …
pathological disorders by studying changes in retinal blood vessels. This early detection can …
A two layer sparse autoencoder for glaucoma identification with fundus images
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 …
Higher intraocular pressure is the leading cause for this condition. Screening for glaucoma …
Glaucoma disease diagnosis with an artificial algae-based deep learning algorithm
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 …
the long duration of intraocular pressure can be caused blindness. Nowadays, deep …
[PDF][PDF] Grid color moment features in glaucoma classification
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 …
localize, perceive and evaluate the optic disc. Clinical decision support system (CDSS) is …
Automated glaucoma detection using center slice of higher order statistics
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 …
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.
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 …
worldwide. The characteristic of glaucoma are high eye pressure, loss of vision gradually …