Deep learning based approach for fully automated detection and segmentation of hard exudate from retinal images.
Fatemeh ZabihollahyAidan LochbihlerEranga UkwattaPublished in: Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging (2019)
Keyphrases
- optic disk
- fully automated
- retinal images
- deep learning
- diabetic retinopathy
- fundus images
- fully automatic
- vessel detection
- vessel segmentation
- matched filters
- optic disc
- blood vessels
- unsupervised learning
- manual segmentation
- retinal blood vessels
- optical coherence tomography
- automatic detection
- machine learning
- weakly supervised
- region of interest
- hough transform
- computer vision
- early detection
- automated segmentation
- markov random field
- multiscale
- feature extraction
- image processing