End-to-end multi-task learning for simultaneous optic disc and cup segmentation and glaucoma classification in eye fundus images.
Álvaro S. HervellaJosé RoucoJorge NovoMarcos OrtegaPublished in: Appl. Soft Comput. (2022)
Keyphrases
- fundus images
- optic disc
- end to end
- multi task learning
- optic disk
- blood vessels
- optic nerve
- retinal images
- multi task
- vascular tree
- learning tasks
- optical coherence tomography
- learning problems
- feature selection
- support vector machine
- gaussian processes
- feature vectors
- segmentation scheme
- supervised learning
- high order
- decision trees
- feature extraction
- diabetic retinopathy
- feature space
- image analysis
- machine learning
- text classification
- medical imaging
- multiscale
- learning algorithm