Enhancement and identification of microcalcifications in mammogram images using wavelets

Author

Yu, Songyang ; Brown, Stephen ; Xue, Yu ; Guan, Ling

Author_Institution

Dept. of Electr. Eng., Sydney Univ., NSW, Australia

Volume

2

fYear

1996

fDate

14-17 Oct 1996

Firstpage

1166

Abstract

In this paper, we describe an algorithm for enhancement and detection of microcalcifications in digital mammograms. The microcalcifications are first enhanced by a undecimated wavelet transform and segmented by a classification based method. After spatial features are extracted from the segmented images, a neural network and a Bayes classifier are used to identify clustered microcalcifications. We have tested this algorithm on 40 regions-of-interest images extracted from the database provided by the University Hospital of Nijmegen

Keywords

Bayes methods; CAD; diagnostic radiography; image classification; image enhancement; image segmentation; medical image processing; neural nets; wavelet transforms; Bayes classifier; CAD; Nijmegen University Hospital; breast cancer; feature extraction; image classification; image enhancement; mammogram images; microcalcifications; neural network; segmentation; wavelet transforms; Breast cancer; Clustering algorithms; Discrete wavelet transforms; Filtering; Frequency; Image resolution; Image segmentation; Low pass filters; Signal processing algorithms; Wavelet transforms;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1996., IEEE International Conference on

Conference_Location

Beijing

ISSN

1062-922X

Print_ISBN

0-7803-3280-6

Type

conf

DOI

10.1109/ICSMC.1996.571251

Filename

571251