Contrast Enhancement in Dense Breast Images to Aid Clustered Microcalcifications Detection

被引：0
作者：
Fátima L. S. Nunes
Homero Schiabel
Claudio E. Goes
机构：
[1] Centro Universitário Eurípides de Marília,Programa de Pós
[2] Universidade de São Paulo,Graduação em Ciência da Computação
[3] Fundação de Ensino Eurípides Soares da Rocha de Marília,Departamento de Engenharia Elétrica, EESC
来源：
Journal of Digital Imaging | 2007年 / 20卷
关键词：
Image processing; contrast enhancement; dense breasts; microcalcifications; mammography;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
This paper presents a method to provide contrast enhancement in dense breast digitized images, which are difficult cases in testing of computer-aided diagnosis (CAD) schemes. Three techniques were developed, and data from each method were combined to provide a better result in relation to detection of clustered microcalcifications. Results obtained during the tests indicated that, by combining all the developed techniques, it is possible to improve the performance of a processing scheme designed to detect microcalcification clusters. It also allows operators to distinguish some of these structures in low-contrast images, which were not detected via conventional processing before the contrast enhancement. This investigation shows the possibility of improving CAD schemes for better detection of microcalcifications in dense breast images.
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页码：53 / 66
页数：13
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