Unsupervised learning of healthy anatomy for anomaly detection in brain CT scans.
Sina WalluscheckLuca CanaliniJan KleinStefan HeldmannPublished in: Medical Imaging: Computer-Aided Diagnosis (2023)
Keyphrases
- anomaly detection
- unsupervised learning
- ct scans
- ct images
- anatomical knowledge
- computed tomography
- medical images
- brain images
- x ray
- region of interest
- medical imaging
- intrusion detection
- computer tomography
- network intrusion detection
- ct data
- anomalous behavior
- supervised learning
- three dimensional
- detecting anomalies
- network traffic
- semi supervised
- computer aided diagnosis
- human brain
- brain tissue
- intrusion detection system
- magnetic resonance images
- imaging modalities
- text classification
- neural network
- anatomical structures
- one class support vector machines
- machine learning
- pulmonary nodules
- expectation maximization
- dimensionality reduction
- network anomaly detection
- fracture detection
- image reconstruction
- detect anomalies
- image segmentation
- computer vision