Segmenting retinal vascular net from retinopathy of prematurity images using convolutional neural network.
Monserrate Intriago-PazmiñoJulio Ibarra-FialloRaúl Alonso-CalvoJosé CrespoPublished in: DATA (2019)
Keyphrases
- optical coherence tomography
- oct images
- fundus images
- retinal images
- convolutional neural network
- image analysis
- vessel detection
- image data
- input image
- image database
- three dimensional
- ground truth
- image classification
- image collections
- image registration
- image features
- image retrieval
- object recognition
- retinal fundus
- rigid body
- vascular tree
- test images
- blood vessels
- lighting conditions
- region of interest
- machine learning
- segmentation method
- accurate segmentation
- extracting features
- tubular structures
- fully automatic
- automatically segmenting
- detection method
- feature points
- edge detection
- retinal fundus images
- image processing