Improvement of performance to discriminate malignant tumors from normal tissue on mammograms by feature selection and evaluation of feature selection criteria
Sachiko Furuya, Jun Fang Wei, Yoshihiro Hagihara, Akinobu Shimizu, Hidefumi Kobatake, Shigeru Nawano · Systems and Computers in Japan · 2004
Abstract This paper reports the results of improving the performance of a previous system for discriminating malignant tumors by selecting a small number of features effective for discriminating malignant tumors from normal tissue on mammograms from 39 features. Specifically, the efficacy of the new system is evaluated by comparing the results with the case of using the previous 9 features. The paper also reports on the results of comparing the areas Az under ROC curves using Mahalanobis distance ratios, the areas Az under ROC curves based on the maximum likelihood method, and the average recognition rates based on the nearest‐neighbor decision rule. © 2004 Wiley Periodicals, Inc. Syst Comp Jpn, 35(7): 72–84, 2004; Published online in Wiley InterScience ( www.interscience.wiley.com ). DOI 10.1002/scj.10587