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.

An integration between SVM classifiers and multi-resolution techniques for early breast cancer detection

Rocca, Paolo;Viani, Federico;Donelli, Massimo;Benedetti, Manuel;Massa, Andrea
2008-01-01

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.
2008
Proc. 2008 IEEE AP-S International Symposium
San Diego, USA
IEEE
Rocca, Paolo; Viani, Federico; Donelli, Massimo; Benedetti, Manuel; Massa, Andrea
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/79113
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