Scale Space Approximation in Convolutional Neural Networks for Retinal Vessel Segmentation.
Kyoung Jin NohSang Jun ParkSoochahn LeePublished in: CoRR (2018)
Keyphrases
- scale space
- vessel segmentation
- retinal images
- convolutional neural networks
- blood vessels
- multiscale
- image analysis
- scale spaces
- multiple scales
- low contrast
- image structure
- gaussian scale space
- region growing
- vessel enhancement
- scale invariant
- critical points
- edge detector
- image features
- scale selection
- gaussian kernel
- image segmentation
- vector valued
- diffusion equation
- gaussian derivatives
- optic disc
- region of interest
- linear scale space theory
- machine learning
- scale space theory
- similarity measure
- gaussian convolution