AI-Based Automatic Detection and Classification of Diabetic Retinopathy Using U-Net and Deep Learning.
Anas BilalLiucun ZhuAnan DengHuihui LuNing WuPublished in: Symmetry (2022)
Keyphrases
- automatic detection
- diabetic retinopathy
- deep learning
- machine learning
- unsupervised learning
- artificial intelligence
- text classification
- pattern recognition
- retinal images
- restricted boltzmann machine
- early detection
- unsupervised feature learning
- case based reasoning
- feature space
- support vector
- feature extraction
- knowledge base
- principal component analysis
- supervised learning
- knowledge representation
- knowledge sources
- medical experts
- image segmentation
- feature selection