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» Using Ontologies for Medical Image Retrieval - An Experiment
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ISMDA
2003
Springer
14 years 1 months ago
Inductive Learning of Simple Diagnostic Scores
Knowledge acquisition and maintenance in medical domains with a large application domain ontology is a difficult task. To reduce knowledge elicitation costs, semi-automatic learni...
Martin Atzmüller, Joachim Baumeister, Frank P...
ESWS
2009
Springer
14 years 3 months ago
Effects of Using a Research Context Ontology for Query Expansion
This thesis investigates the question whether and how ontologies such as the ones currently evolving in the Semantic Web can serve as knowledge structures for the generation of que...
Carola Carstens
CVPR
2004
IEEE
14 years 14 days ago
Midstream Content Access of Visual Pattern Coded Imagery
Multimedia retrieval is going to play an increasingly important role in the future. Since the availability of digital media seems ever rising, not only the retrieval performance i...
Gerald Schaefer
ESWA
2008
127views more  ESWA 2008»
13 years 8 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
SCIA
2005
Springer
220views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Block-Based Methods for Image Retrieval Using Local Binary Patterns
In this paper, two block-based texture methods are proposed for content-based image retrieval (CBIR). The approaches use the Local Binary Pattern (LBP) texture feature as the sourc...
Valtteri Takala, Timo Ahonen, Matti Pietikäin...