Statistical Association Rules and Relevance Feedback: Powerful Allies to Improve the Retrieval of Medical Images.
Marcela X. RibeiroJoselene MarquesAgma J. M. TrainaCaetano Traina Jr.Published in: CBMS (2006)
Keyphrases
- medical images
- relevance feedback
- association rules
- anatomical structures
- document retrieval
- medical imaging
- deformable models
- image retrieval
- medical image retrieval
- image intensity
- information retrieval systems
- magnetic resonance imaging
- medical diagnosis
- medical image segmentation
- ct images
- magnetic resonance
- magnetic resonance images
- mr images
- query expansion
- retrieval model
- medical image analysis
- medical data
- computed tomography
- x ray images
- data mining
- retrieval accuracy
- region of interest
- multi modality
- computer aided diagnosis
- imaging modalities
- brain images
- clinical applications
- retrieval framework
- retrieval precision
- segmentation of medical images
- information retrieval
- cbir systems
- image search
- clinical practice
- retrieval process
- multimedia databases
- shape analysis
- automatic annotation
- low level features
- retrieval effectiveness
- relevant documents
- test collection
- image database
- knowledge discovery
- computer tomography