Mutual information criterion for feature selection with application to classification of breast microcalcifications

Idit Diamant; Moran Shalhon; Jacob Goldberger; Hayit Greenspan

doi:10.1117/12.2216466

21 March 2016 Mutual information criterion for feature selection with application to classification of breast microcalcifications

Idit Diamant, Moran Shalhon, Jacob Goldberger, Hayit Greenspan

Author Affiliations +

Proceedings Volume 9784, Medical Imaging 2016: Image Processing; 97841S (2016) https://doi.org/10.1117/12.2216466
Event: SPIE Medical Imaging, 2016, San Diego, California, United States

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.

Citation Download Citation

Idit Diamant, Moran Shalhon, Jacob Goldberger, and Hayit Greenspan "Mutual information criterion for feature selection with application to classification of breast microcalcifications", Proc. SPIE 9784, Medical Imaging 2016: Image Processing, 97841S (21 March 2016); https://doi.org/10.1117/12.2216466

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available