HPWO-LS-based deep learning approach with S-ROA-optimized optic cup segmentation for fundus image classification.
J. RamyaM. P. RajakumarB. Uma MaheswariPublished in: Neural Comput. Appl. (2021)
Keyphrases
- deep learning
- image classification
- fundus images
- optical coherence tomography
- optic disc
- unsupervised feature learning
- segmentation algorithm
- unsupervised learning
- machine learning
- image segmentation
- blood vessels
- feature extraction
- level set
- medical images
- image representation
- segmentation method
- image features
- multiscale
- mental models
- sparse representation
- test images
- bag of words
- object segmentation
- shape prior
- pairwise
- data mining
- image retrieval