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Proceedings Paper

Effect of case mix on feature selection in the computerized classification of mammographic lesions
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Paper Abstract

One potential limitation of computer-aided diagnosis (CAD) studies is that a computerized method may be trained and tested on a database comprised of a limited number of cases. Thus, the performance of the CAD method may depend on the subtlety of the lesions (i.e., the case mix) in the database. The purpose of this study is to evaluate the effect of case-mix on feature selection and the performance of a computerized classification method trained on a limited database.

Paper Details

Date Published: 9 May 2002
PDF: 6 pages
Proc. SPIE 4684, Medical Imaging 2002: Image Processing, (9 May 2002); doi: 10.1117/12.467221
Show Author Affiliations
Zhimin Huo, Eastman Kodak Co. (United States)
Maryellen Lissak Giger, Univ. of Chicago (United States)


Published in SPIE Proceedings Vol. 4684:
Medical Imaging 2002: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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