Neural Networks with Manifold Learning for Diabetic Retinopathy Detection.
Arjun Raj RajannaKamelia AryafarRajeev RamchandranChristye SissonAli ShokoufandehRaymond W. PtuchaPublished in: CoRR (2016)
Keyphrases
- manifold learning
- diabetic retinopathy
- neural network
- automatic detection
- retinal images
- early detection
- dimensionality reduction
- low dimensional
- nonlinear dimensionality reduction
- diffusion maps
- medical experts
- semi supervised
- high dimensional
- laplacian eigenmaps
- high dimensional data
- dimension reduction
- blood vessels
- optic disc
- pattern recognition
- feature extraction
- manifold structure
- locally linear embedding
- vessel segmentation
- feature space
- sparse representation
- principal component analysis
- data points
- feature selection