Retinal Image Synthesis and Semi-Supervised Learning for Glaucoma Assessment.
Andres Diaz-PintoAdrián ColomerValery NaranjoSandra MoralesYanwu XuAlejandro F. FrangiPublished in: IEEE Trans. Medical Imaging (2019)
Keyphrases
- semi supervised learning
- retinal images
- blood vessels
- semi supervised
- unlabeled data
- labeled data
- supervised learning
- machine learning
- semi supervised classification
- active learning
- co training
- unsupervised learning
- training data
- optical coherence tomography
- transfer learning
- region of interest
- label propagation
- diabetic retinopathy
- graph based semi supervised learning
- optic disc
- semi supervised learning algorithms
- fundus images
- learning tasks
- neural network
- labeled and unlabeled data
- super resolution
- markov random field
- multiscale
- learning algorithm
- data sets