A deep learning interpretable classifier for diabetic retinopathy disease grading.
Jordi de La TorreAïda VallsDomenec PuigPublished in: Neurocomputing (2020)
Keyphrases
- deep learning
- diabetic retinopathy
- automatic detection
- retinal images
- early detection
- optic disc
- unsupervised learning
- unsupervised feature learning
- machine learning
- medical experts
- training data
- blood vessels
- feature selection
- vessel segmentation
- decision trees
- feature space
- mental models
- support vector
- learning algorithm
- supervised learning
- training set