Deep learning architecture based on segmented fundus image features for classification of diabetic retinopathy.
Sraddha DasKrity KharbandaM. SuchethaRajiv RamanEdwin Dhas DPublished in: Biomed. Signal Process. Control. (2021)
Keyphrases
- deep learning
- diabetic retinopathy
- image features
- retinal images
- image classification
- feature vectors
- unsupervised learning
- automatic detection
- machine learning
- feature extraction
- restricted boltzmann machine
- blood vessels
- unsupervised feature learning
- medical experts
- image content
- pattern recognition
- support vector
- early detection
- feature space
- object recognition
- object categories
- object model
- decision support system
- weakly supervised
- fundus images
- decision trees