Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images.
Bruno LecouatKen ChangChuan-Sheng FooBalagopal UnnikrishnanJames M. BrownHoussam ZenatiAndrew BeersVijay ChandrasekharJayashree Kalpathy-CramerPavitra KrishnaswamyPublished in: CoRR (2018)
Keyphrases
- deep learning
- retinal images
- semi supervised
- unsupervised learning
- age related macular degeneration
- supervised learning
- pattern recognition
- restricted boltzmann machine
- blood vessels
- vessel segmentation
- machine learning
- text classification
- labeled data
- feature selection
- semi supervised learning
- weakly supervised
- object recognition
- diabetic retinopathy
- higher order
- maximum likelihood
- co occurrence
- feature vectors
- training set
- feature space
- feature extraction
- decision trees
- vessel detection