Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination.
Ren TogoHaruna WatanabeTakahiro OgawaMiki HaseyamaPublished in: Comput. Biol. Medicine (2020)
Keyphrases
- x ray
- anomaly detection
- intrusion detection
- x ray images
- digital x ray images
- unsupervised learning
- intraoperative
- anomalous behavior
- three dimensional
- network intrusion detection
- detecting anomalies
- medical imaging
- network traffic
- projection images
- pattern recognition
- network anomaly detection
- electron microscopy
- ct scans
- intrusion detection system
- neural network
- feature extraction
- transmission electron microscopy
- support vector machine
- feature space
- detect anomalies
- one class support vector machines
- machine learning
- text classification
- feature vectors
- normal behavior
- training data
- metal oxide
- data mining