DocumentCode :
2778530
Title :
An integration between SVM classifiers and multi-resolution techniques for early breast cancer detection
Author :
Rocca, P. ; Viani, F. ; Donelli, M. ; Benedetti, M. ; Massa, A.
Author_Institution :
Dept. of Inf. Eng. & Comput. Sci., Univ. of Trento, Trento
fYear :
2008
fDate :
5-11 July 2008
Firstpage :
1
Lastpage :
4
Abstract :
In this work, a multi-scaling classification approach for breast cancer detection has been presented. The approach exploits the generalization capabilities of a SVM-based methodology and a multi-resolution strategy. In order to assess the effectiveness and the feasibility of the proposed technique, a preliminary result has been reported.
Keywords :
biomedical imaging; cancer; image reconstruction; image resolution; medical image processing; microwave imaging; probability; support vector machines; SVM classifiers; breast cancer detection; multiresolution techniques; multiscaling classification approach; support vector machines; Breast cancer; Breast tissue; Cancer detection; Electromagnetic scattering; Image reconstruction; Microwave imaging; Pathology; Spatial resolution; Support vector machine classification; Support vector machines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Antennas and Propagation Society International Symposium, 2008. AP-S 2008. IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-2041-4
Electronic_ISBN :
978-1-4244-2042-1
Type :
conf
DOI :
10.1109/APS.2008.4619948
Filename :
4619948
Link To Document :
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