Ontology-Based Knowledge Organization for the Radiograph Images Segmentation
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-orient...
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| Format: | Article |
| Language: | English |
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Stefan cel Mare University of Suceava
2008-04-01
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| Series: | Advances in Electrical and Computer Engineering |
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| Online Access: | http://dx.doi.org/10.4316/AECE.2008.01010 |
| Summary: | 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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| ISSN: | 1582-7445 1844-7600 |