FGR-Net: Interpretable fundus image gradeability classification based on deep reconstruction learning.
Saif KhalidHatem A. RashwanSaddam AbdulwahabMohamed Abdel-NasserFacundo Manuel QuirogaDomenec PuigPublished in: Expert Syst. Appl. (2024)
Keyphrases
- image classification
- high resolution
- image data
- supervised learning
- learning algorithm
- multiscale
- input image
- image features
- three dimensional
- image content
- active learning
- single image
- learning process
- image segmentation
- image analysis
- reconstruction process
- reinforcement learning
- preprocessing stage
- reconstruction error
- classification rules
- learning phase
- deep learning
- segmentation method
- image representation
- feature points
- multi view
- text classification
- classification accuracy
- unsupervised learning
- edge detection
- support vector machine
- region of interest
- extracted features
- dictionary learning
- training set
- support vector
- feature extraction
- machine learning