Unsupervised deep clustering for predictive texture pattern discovery in medical images.
Matthias PerkoniggDaniel SobotkaAhmed Ba-SsalamahGeorg LangsPublished in: CoRR (2020)
Keyphrases
- medical images
- pattern discovery
- pattern extraction
- biomedical images
- unsupervised learning
- anatomical structures
- medical imaging
- association rule mining
- medical diagnosis
- pattern mining
- image intensity
- medical image segmentation
- medical image analysis
- computed tomography
- ct images
- sequential patterns
- computer aided diagnosis
- magnetic resonance imaging
- deformable models
- medical data
- region of interest
- magnetic resonance images
- magnetic resonance
- brain images
- recurring patterns
- data mining
- interesting patterns
- data analysis
- x ray images
- discovering patterns
- imaging modalities
- mr images
- medical image retrieval
- temporal data mining
- segmentation of medical images
- recursive partitioning
- real world
- information retrieval
- motif discovery
- image processing
- clinical practice
- multi dimensional
- level set
- multimodal medical images
- computer vision