Machine Learning for Glaucoma Assessment using Fundus Images

Díaz Pinto,Andres Yesid

Machine Learning for Glaucoma Assessment using Fundus Images

2019

Díaz Pinto
Andres Yesid

The research derived from this doctoral thesis has been supported by the Generalitat Valenciana under the scholarship Santiago Grisolia [GRISOLIA/2015/027].

Keywords:

Scholarship
Semi-supervised learning
Artificial intelligence
Deep learning
Segmentation
Glaucoma
Machine learning
Fundus (eye)
Computer science
Optic cup (anatomical)
Convolutional neural network
Autoencoder
Feature extraction

Correction
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