Detection of microcalcifications in mammograms using higher order statistics

被引：45

作者：

Gurcan, MN ^{[1
]}

Yardimci, Y ^{[1
]}

Cetin, AE ^{[1
]}

Ansari, R ^{[1
]}

机构：

[1] UNIV ILLINOIS,DEPT ELECT ENGN,CHICAGO,IL 60607

来源：

IEEE SIGNAL PROCESSING LETTERS | 1997年 / 4卷 / 08期

关键词：

computer-aided diagnosis; higher order statistics; mammogram images; microcalcifications;

D O I：

10.1109/97.611278

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new method for detecting microcalcifications in mammograms is described, In this method, the mammogram image is first processed bg a subband decomposition filterbank, The bandpass subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated, The detection method utilizes these two parameters, A region with high positive skewness and kurtosis is marked as a region of interest, Simulation results show that this method is successful in detecting regions with microcalcifications.

引用

页码：213 / 216

页数：4

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