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Ontology-Based Knowledge Organization for the Radiograph Images SegmentationMATEI, O.
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normalization, onotologies, radiographs
medical(12), chest(12), segmentation(8), radiographs(8), lung(8), digital(7), physics(6), analysis(6), imaging(5), feature(4)
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About this article
Date of Publication: 2008-04-02
Volume 8, Issue 1, Year 2008, On page(s): 56 - 61
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2008.01010
Web of Science Accession Number: 000259903500010
SCOPUS ID: 70349189190
The quantity of thoracic radiographies in the medical field is ever growing. An automated system for segmenting the images would help doctors enormously. Some approaches are knowledge-based; therefore we propose here an ontology for this purpose. Thus it is machine oriented, rather than human-oriented. That is all the structures visible on a thoracic image are described from a technical point of view.
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 Galen ontology, [Online] Available: Temporary on-line reference link removed - see the PDF document
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Stefan cel Mare University of Suceava, Romania
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