Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07) Improving Performance and Quality in Content-Based Medical Image Retrieval Maribor, Slovenia June 20-June 22 ISBN: 0-7695-2905-4
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.58
The lack of content-based retrieval models capable to provide fast and relevant results is one of the reasons why CBMIR tools have not yet became present in radiological routines. This work presents a methodology for CBMIR in order to help solve this deficiency. Tests performed have shown a reduction of 95.5% of the execution time for retrieval processes. The relevance of the results is assured by the categorization of the cases in the Case Base. The class of cases is defined through pseudo-semantics and visual attributes.
Citation:
Antonio da Luz Jr., Daniel D. Abdala, Aldo v. Wangenheim, Eros Comunello, "Improving Performance and Quality in Content-Based Medical Image Retrieval," cbms, pp.147-152, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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