Microcalcifications Detection in Digital Mammogram Using Morphological Bandpass Filters

0Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Microcalcifications in digital mammogram images can be an early sign of breast cancer. It is very challenging, however, to detect all microcalcifications since they appear as slightly brighter spots than their backgrounds. In this paper, a new method is proposed to efficiently detect all microcalcifications using morphological bandpass filters. Morphological bandpass filters, each with two different structuring elements, are tuned to isolate frequency components of microcalcifications in this method. Experimental results show that the proposed method with bandpass filters can recognize microcalcifications with a higher visibility and more accurate positions and sizes comparing to the well-known wavelet transform method. © Springer-Verlag 2004.

Cite

CITATION STYLE

APA

Yang, J. C., Shin, J. W., Yang, G. S., & Park, D. S. (2004). Microcalcifications Detection in Digital Mammogram Using Morphological Bandpass Filters. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3314, 492–497. https://doi.org/10.1007/978-3-540-30497-5_77

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free