Unsupervised Anomaly Detection in Medical Images with a Memory-augmented Multi-level Cross-attentional Masked Autoencoder.
Yu TianGuansong PangYuyuan LiuChong WangYuanhong ChenFengbei LiuRajvinder SinghJohan W. VerjansGustavo CarneiroPublished in: CoRR (2022)
Keyphrases
- medical images
- unsupervised anomaly detection
- anomaly detection
- anatomical structures
- medical image analysis
- medical imaging
- semi supervised
- image intensity
- deformable models
- mr images
- magnetic resonance imaging
- medical diagnosis
- computer aided diagnosis
- intrusion detection
- imaging modalities
- medical image segmentation
- magnetic resonance
- magnetic resonance images
- ct images
- computed tomography
- medical data
- soft tissue
- brain images
- multi modality
- medical image retrieval
- clinical practice
- x ray images
- biomedical images
- mri images
- clinical applications
- computer tomography
- data mining
- multimodal medical images
- high dimensional
- pattern recognition
- computer vision