Learning image representations for anomaly detection: Application to discovery of histological alterations in drug development.
Igor ZingmanBirgit StierstorferCharlotte LemppFabian HeinemannPublished in: Medical Image Anal. (2024)
Keyphrases
- anomaly detection
- image representation
- intrusion detection
- learning process
- connectionist systems
- network intrusion detection
- unsupervised learning
- learning algorithm
- feature representations
- reinforcement learning
- network traffic
- learning problems
- anomalous behavior
- detecting anomalies
- supervised learning
- object recognition
- network anomaly detection
- computer vision
- computer network security
- feature space
- data mining
- network intrusion
- feature selection
- visual recognition
- decision trees
- support vector
- natural language processing