Unsupervised Deep Anomaly Detection in Chest Radiographs.
Takahiro NakaoShouhei HanaokaYukihiro NomuraMasaki MurataTomomi TakenagaSoichiro MikiTakeyuki WatadaniTakeharu YoshikawaNaoto HayashiOsamu AbePublished in: J. Digit. Imaging (2021)
Keyphrases
- anomaly detection
- chest radiographs
- unsupervised anomaly detection
- unsupervised learning
- intrusion detection
- x ray
- detecting anomalies
- anomalous behavior
- x ray images
- network intrusion detection
- lung nodules
- negative selection algorithm
- active shape model
- supervised learning
- detect anomalies
- intrusion detection system
- one class support vector machines
- image processing
- network traffic
- network security
- multi view
- dimensionality reduction
- pattern recognition
- network anomaly detection
- decision trees
- cumulative sum
- machine learning