Unsupervised Brain MRI Anomaly Detection for Multiple Sclerosis Classification.
Giovanna CastellanoGiuseppe PlacidiMatteo PolsinelliGianpiero TulipaniGennaro VessioPublished in: ICPR Workshops (1) (2022)
Keyphrases
- brain mri
- anomaly detection
- multiple sclerosis
- unsupervised learning
- magnetic resonance images
- intrusion detection
- anatomical structures
- supervised learning
- region growing
- anomalous behavior
- intrusion detection system
- detecting anomalies
- white matter
- clinical trials
- semi supervised
- detect anomalies
- decision trees
- one class support vector machines
- pattern classification
- feature selection
- feature space
- pattern recognition
- magnetic resonance
- shape model
- text classification
- medical images
- mri data
- support vector machine
- data analysis
- three dimensional
- image processing
- machine learning