Multiple-Instance Learning for Anomaly Detection in Digital Mammography.
Gwénolé QuellecMathieu LamardMichel CozicGouenou CoatrieuxGuy CazuguelPublished in: IEEE Trans. Medical Imaging (2016)
Keyphrases
- anomaly detection
- multiple instance learning
- digital mammography
- multiple instance
- intrusion detection
- breast cancer
- computer aided diagnosis
- multi class
- detecting anomalies
- network traffic
- supervised learning
- semi supervised
- network intrusion detection
- image annotation
- intrusion detection system
- anomalous behavior
- semi supervised learning
- unsupervised learning
- digital mammograms
- detect anomalies
- text classification
- reinforcement learning
- class labels
- image classification
- one class support vector machines