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. VerjansMengyu WangGustavo CarneiroPublished in: MLMI@MICCAI (2) (2023)
Keyphrases
- medical images
- unsupervised anomaly detection
- anomaly detection
- semi supervised
- medical imaging
- anatomical structures
- image intensity
- medical diagnosis
- medical image segmentation
- medical image analysis
- intrusion detection
- mr images
- magnetic resonance
- magnetic resonance images
- deformable models
- magnetic resonance imaging
- medical data
- soft tissue
- computer aided diagnosis
- computed tomography
- ct images
- brain images
- imaging modalities
- region of interest
- multi modality
- x ray images
- clinical applications
- segmentation of medical images
- biomedical images
- mri images
- computer tomography
- machine learning
- pattern mining
- medical image retrieval
- image processing