@inproceedings{baa641eefb354181a4fbaeb17803409d,
title = "Mutual information criterion for feature selection with application to classification of breast microcalcifications",
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.",
keywords = "Computer-aided diagnosis (CADx), Feature selection, Mammography, Microcalcifications, Mutual information, Texture features",
author = "Idit Diamant and Moran Shalhon and Jacob Goldberger and Hayit Greenspan",
note = "Publisher Copyright: {\textcopyright} 2016 SPIE.; Medical Imaging 2016: Image Processing ; Conference date: 01-03-2016 Through 03-03-2016",
year = "2016",
doi = "https://doi.org/10.1117/12.2216466",
language = "الإنجليزيّة",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Styner, {Martin A.} and Angelini, {Elsa D.}",
booktitle = "Medical Imaging 2016",
address = "الولايات المتّحدة",
}