Enhanced Convolutional Neural Networks for Segmentation of Retinal Blood Vessel Image.
Olubunmi SuleSerestina ViririPublished in: ICTAS (2020)
Keyphrases
- blood vessels
- retinal fundus images
- fundus images
- segmentation method
- image analysis
- grey level
- segmentation algorithm
- vessel detection
- segmentation procedure
- ocular fundus
- image segmentation
- multiscale
- region of interest
- retinal images
- vessel segmentation
- image regions
- convolutional neural networks
- input image
- image pixels
- image data
- cross sectional
- energy functional
- low contrast
- segmented images
- homogeneous regions
- energy function
- edge detection
- adaptive thresholding
- test images
- tubular structures
- single image
- pixel level
- image features
- segmentation accuracy
- retinal blood vessels
- convolutional network
- image segments
- region segmentation
- fully automatic
- segmentation scheme
- optic disc
- multiple objects
- optimal segmentation
- level set
- image retrieval
- retinal vessel
- image processing
- high resolution
- segmentation errors
- watershed segmentation
- image segmentation algorithm
- gray value
- contrast enhancement
- object segmentation