Microcalcification border characterization

Author

Dócusse, Tiago A. ; Pereira, Aledir S. ; Marranghello, Norian

Author_Institution

Univ. Estadual Paulista, Sao Jose do Rio Preto, Brazil

Volume

28

Issue

5

fYear

2009

Firstpage

41

Lastpage

43

Abstract

Breast cancer is a disease that can be treated if detected in its early stages. Microcalcifications are high-frequency components on digital images. A transform that deals with frequency components can be used in trying to detect these objects on the breast image. We used the wavelet transform on the proposed work to detect these elements and to classify the nature of their borders, being smooth or rugged.

Keywords

biological organs; cancer; diagnostic radiography; image classification; mammography; medical image processing; object detection; tumours; wavelet transforms; breast cancer; digital image classification; digital mammogram; microcalcification border characterization; object detection; wavelet transform; Breast neoplasms; Cancer; Frequency; Image analysis; Image reconstruction; Image resolution; Object detection; Pixel; Wavelet analysis; Wavelet transforms; Breast Neoplasms; Calcinosis; False Positive Reactions; Female; Humans; Mammography; Signal Processing, Computer-Assisted;

fLanguage

English

Journal_Title

Engineering in Medicine and Biology Magazine, IEEE

Publisher

ieee

ISSN

0739-5175

Type

jour

DOI

10.1109/MEMB.2009.934583

Filename

5254908