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Proceedings Paper

Mutual information criterion for feature selection with application to classification of breast microcalcifications
Author(s): Idit Diamant; Moran Shalhon; Jacob Goldberger; Hayit Greenspan
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Paper Abstract

Classification of clustered breast microcalcifications into benign and malignant categories is an extremely challenging task for computerized algorithms and expert radiologists alike. In this paper we present a novel method for feature selection based on mutual information (MI) criterion for automatic classification of microcalcifications. We explored the MI based feature selection for various texture features. The proposed method was evaluated on a standardized digital database for screening mammography (DDSM). Experimental results demonstrate the effectiveness and the advantage of using the MI-based feature selection to obtain the most relevant features for the task and thus to provide for improved performance as compared to using all features.

Paper Details

Date Published: 21 March 2016
PDF: 6 pages
Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97841S (21 March 2016); doi: 10.1117/12.2216466
Show Author Affiliations
Idit Diamant, Tel Aviv Univ. (Israel)
Moran Shalhon, Tel Aviv Univ. (Israel)
Jacob Goldberger, Bar-Ilan Univ. (Israel)
Hayit Greenspan, Tel Aviv Univ. (Israel)


Published in SPIE Proceedings Vol. 9784:
Medical Imaging 2016: Image Processing
Martin A. Styner; Elsa D. Angelini, Editor(s)

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