4.2 Article

Evaluation of deep convolutional neural networks for glaucoma detection

Related references

Note: Only part of the references are listed.
Article Ophthalmology

Detection of Longitudinal Visual Field Progression in Glaucoma Using Machine Learning

Siamak Yousefi et al.

AMERICAN JOURNAL OF OPHTHALMOLOGY (2018)

Article Ophthalmology

Validating Variational Bayes Linear Regression Method With Multi-Central Datasets

Hiroshi Murata et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2018)

Article Ophthalmology

A Deep Learning Approach to Digitally Stain Optical Coherence Tomography Images of the Optic Nerve Head

Sripad Krishna Devalla et al.

INVESTIGATIVE OPHTHALMOLOGY & VISUAL SCIENCE (2018)

Proceedings Paper Computer Science, Artificial Intelligence

Densely Connected Convolutional Networks

Gao Huang et al.

30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)

Article Medicine, General & Internal

Development and Validation of a Deep Learning Algorithm for Detection of Diabetic Retinopathy in Retinal Fundus Photographs

Varun Gulshan et al.

JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION (2016)

Article Ophthalmology

The number of people with glaucoma worldwide in 2010 and 2020

HA Quigley et al.

BRITISH JOURNAL OF OPHTHALMOLOGY (2006)