Biologically-Inspired Supervised Vasculature Segmentation in SLO Retinal Fundus Images.
Samaneh Abbasi-SureshjaniIris Smit-OckeloenJiong ZhangBart M. ter Haar RomenyPublished in: ICIAR (2015)
Keyphrases
- biologically inspired
- retinal fundus images
- blood vessels
- colour image segmentation
- optic disc
- receptive fields
- biologically plausible
- biomedical images
- biological systems
- medical images
- level set
- retinal images
- image segmentation
- segmentation algorithm
- segmentation method
- low contrast
- scene classification
- learning algorithm
- energy function
- shape prior
- region growing
- multiscale
- image processing
- object segmentation
- medical image analysis
- image analysis
- high dimensional
- three dimensional
- neural network