Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge.
Paulo Mazzoncini de Azevedo MarquesNatalia Abdala RosaAgma Juci Machado TrainaCaetano Traina Jr.Sérgio Koodi KinoshitaRangaraj M. RangayyanPublished in: Int. J. Comput. Assist. Radiol. Surg. (2008)
Keyphrases
- relevance feedback
- expert knowledge
- low level features
- semantic gap
- low level visual features
- bridge the semantic gap
- high level semantic concepts
- image retrieval
- expert systems
- domain knowledge
- information retrieval systems
- semantic information
- image retrieval systems
- semantic concepts
- bayesian networks
- fuzzy logic
- video retrieval
- image annotation
- low level
- visual features
- domain experts
- information retrieval
- image content
- visual content
- cbir systems
- active learning
- prior knowledge
- knowledge base
- multimedia content
- multimedia
- image database
- domain specific
- image classification
- multimedia data
- decision making
- low level image features
- artificial intelligence
- data mining