A Microcalcification Detection Using Adaptive Contrast Enhancement on Wavelet Transform and Neural Network

Ho Kyung KANG
Yong Man RO
Sung Min KIM

Publication
IEICE TRANSACTIONS on Information and Systems   Vol.E89-D    No.3    pp.1280-1287
Publication Date: 2006/03/01
Online ISSN: 1745-1361
DOI: 10.1093/ietisy/e89-d.3.1280
Print ISSN: 0916-8532
Type of Manuscript: PAPER
Category: Biological Engineering
Keyword: 
mammography,  CAD (computer-aided diagnosis),  

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Summary: 
Microcalcification detection is an important part of early breast cancer detection. In this paper, we propose a microcalcification detection algorithm using adaptive contrast enhancement in a mammography CAD (computer-aided diagnosis) system. The proposed microcalcification detection algorithm includes two parts. One is adaptive contrast enhancement in which the enhancement filtering parameters are determined based on noise characteristics of the mammogram. The other is a multi-stage microcalcification detection. The results show that the proposed microcalcification detection algorithm is much more robust against fluctuating noisy environments.

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