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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
ASCII Text
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Antonio da Luz Jr., Daniel D. Abdala, Aldo v. Wangenheim, Eros Comunello, "Improving Performance and Quality in Content-Based Medical Image Retrieval," Computer-Based Medical Systems, IEEE Symposium on, pp. 147-152, Twentieth IEEE International Symposium on Computer-Based Medical Systems (CBMS'07), 2007.
 
 
BibTex
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@article{ 10.1109/CBMS.2007.58,
author = {Antonio da Luz Jr. and Daniel D. Abdala and Aldo v. Wangenheim and Eros Comunello},
title = {Improving Performance and Quality in Content-Based Medical Image Retrieval},
journal ={Computer-Based Medical Systems, IEEE Symposium on},
volume = {0},
year = {2007},
issn = {1063-7125},
pages = {147-152},
doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2007.58},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Computer-Based Medical Systems, IEEE Symposium on
TI - Improving Performance and Quality in Content-Based Medical Image Retrieval
SN - 1063-7125
SP147
EP152
A1 - Antonio da Luz Jr.,
A1 - Daniel D. Abdala,
A1 - Aldo v. Wangenheim,
A1 - Eros Comunello,
PY - 2007
KW - null
VL - 0
JA - Computer-Based Medical Systems, IEEE Symposium on
ER -
 
Antonio da Luz Jr., Federal University of Santa Catarina, Brazil
Daniel D. Abdala, Federal University of Santa Catarina, Brazil
Aldo v. Wangenheim, Federal University of Santa Catarina, Brazil
Eros Comunello, Federal University of Santa Catarina, Brazil
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
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