Anomaly Detection in Retinal Images using Multi-Scale Deep Feature Sparse Coding.
Sourya Dipta DasSaikat DuttaNisarg A. ShahDwarikanath MahapatraZongyuan GePublished in: CoRR (2022)
Keyphrases
- anomaly detection
- sparse coding
- retinal images
- natural images
- multiscale
- unsupervised learning
- dictionary learning
- image representation
- sparse representation
- intrusion detection
- blood vessels
- detecting anomalies
- image classification
- linear combination
- optic disc
- generative model
- image patches
- image features
- intrusion detection system
- feature vectors
- one class support vector machines
- high dimensional
- scale space
- higher order
- denoising
- visual words
- object recognition
- model selection
- semi supervised
- machine learning
- image segmentation
- data sets
- detect anomalies
- neural network
- face recognition
- similarity measure
- data analysis
- region of interest
- bag of words
- keypoints
- active learning
- input image
- supervised learning
- low resolution