Computer Vision and Machine Learning for Glaucoma Detection

Computer Vision and Machine Learning for Glaucoma Detection

Deep learning based on computer vision and machine learning is an emerging technology in both the medical imaging industry and academia. Despite the existence of some commercial glaucoma detection systems such as retinal imaging, OCT scans, and ocular tonometry, we are at the beginning of a long res...

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Bibliographic Details
Main Author: Norouzifard, Mohammad (Author)
Other Authors: Klette, Reinhard (Contributor), GholamHosseini, Hamid (Contributor)
Format: Others
Published: Auckland University of Technology, 2020-04-30T00:48:20Z.
Subjects:
Biomedical engineering
Glaucoma detection
Deep learning
Machine learning
Transfer learning
Convolutional neural network
Traditional classifier
Ensemble model
Pattern recognition
Supervised classifier
unsupervised classifier
Hybrid classifier
RNFL classification
Fundus image classification
Optic disc segmentation
optic cup segmentation
Vision testing
Optokinetic Nystagmus
Eye tracking
Thesis
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