Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach

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	Similar Articles Articles by Antonio da Luz, Jr. Articles by Daniel D. Abdala Articles by Aldo V. Wangenheim Articles by Eros Comunello

19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06)

Salt Lake City, Utah

June 22-June 23

ISBN: 0-7695-2517-1

	ASCII Text	x
	Antonio da Luz, Jr., Daniel D. Abdala, Aldo V. Wangenheim, Eros Comunello, "Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach," Computer-Based Medical Systems, IEEE Symposium on, pp. 93-98, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006.

	BibTex	x
	@article{ 10.1109/CBMS.2006.45, author = {Antonio da Luz, Jr. and Daniel D. Abdala and Aldo V. Wangenheim and Eros Comunello}, title = {Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach}, journal ={Computer-Based Medical Systems, IEEE Symposium on}, volume = {0}, year = {2006}, issn = {1063-7125}, pages = {93-98}, doi = {http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.45}, 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 - Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach SN - 1063-7125 SP93 EP98 A1 - Antonio da Luz, Jr., A1 - Daniel D. Abdala, A1 - Aldo V. Wangenheim, A1 - Eros Comunello, PY - 2006 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

DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CBMS.2006.45

This paper presents a hybrid approach to perform content-based retrieval on medical image databases. It takes advantage of a pre-processed case base that is batch updated. DICOM information is used to perform pre-filtering to speed up the retrieval process and a image processing knowledge base is used to dynamically reconfigure the most appropriated image processing procedures to perform the image feature extraction. It shows that pre-filtering can speed up considerably the retrieval process and also that some image features produce very similar results what leads to future work on defining the needed digital image processing knowledge base.

Citation:

Antonio da Luz, Jr., Daniel D. Abdala, Aldo V. Wangenheim, Eros Comunello, "Analyzing DICOM and non-DICOM Features in Content-Based Medical Image Retrieval: A Multi-Layer Approach," cbms, pp.93-98, 19th IEEE Symposium on Computer-Based Medical Systems (CBMS'06), 2006

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