Anomaly Detection in Medical Imaging With Deep Perceptual Autoencoders.
Nina ShvetsovaBart BakkerIrina FedulovaHeinrich SchulzDmitry V. DylovPublished in: IEEE Access (2021)
Keyphrases
- anomaly detection
- medical imaging
- medical images
- x ray
- intrusion detection
- network traffic
- denoising
- magnetic resonance images
- anatomical structures
- image registration
- image processing
- image analysis
- detecting anomalies
- anomalous behavior
- ct images
- imaging modalities
- image segmentation
- magnetic resonance imaging
- image processing and analysis
- medical image processing
- network intrusion detection
- medical image analysis
- image guided
- computer vision
- intrusion detection system
- detecting anomalous
- network security
- volumetric data
- network anomaly detection
- biomedical engineering
- unsupervised learning
- remote sensing
- image guided surgery
- negative selection algorithm
- biomedical imaging
- cumulative sum
- one class support vector machines
- detect anomalies
- high resolution
- artificial neural networks
- hidden markov models
- magnetic resonance