The detection of micro-calcifications in mammographic images using high dimensional features

Author

Solka, Jeffrey L. ; Poston, Wendy L. ; Priebe, Carey E. ; Rogers, George W. ; Lorey, Richard A. ; Marchette, David J. ; Woods, Kevin ; Bowye, Kevin

Author_Institution

Dept. of Syst. Res. & Technol., Naval Surface Warfare Center, Dahlgren, VA, USA

fYear

1994

fDate

10-12 Jun 1994

Firstpage

139

Lastpage

145

Abstract

This paper examines techniques for the efficient use of high dimensional feature sets in the detection of micro-calcifications in mammograms. The paper focuses on techniques for dimensionality reduction and discriminant analysis. The paper examines the use of principal components and Fisher´s linear discriminant for dimensionality reduction along with parametric and nonparametric statistical techniques for discriminant analysis

Keywords

diagnostic radiography; feature extraction; medical diagnostic computing; medical image processing; statistical analysis; cancer diagnosis; dimensionality reduction; discriminant analysis; feature extraction; high dimensional feature sets; high dimensional features; linear discriminant; mammographic images; micro-calcification detection; nonparametric statistical techniques; parametric statistical techniques; Background noise; Breast cancer; Diagnostic radiography; Feature extraction; Fluctuations; Image segmentation; Military computing; Pixel; Statistics; Weapons;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems, 1994., Proceedings 1994 IEEE Seventh Symposium on

Conference_Location

Winston-Salem, NC

Print_ISBN

0-8186-6256-5

Type

conf

DOI

10.1109/CBMS.1994.316001

Filename

316001