A Microcalcification Detection Using Adaptive Contrast Enhancement on Wavelet Transform and Neural Network(Biological Engineering)

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概要

• 論文の詳細を見る

• 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.

• 社団法人電子情報通信学会の論文
• 2006-03-01

著者

• Ro Yong

  Multimedia Group Information And Communications University

• Kim Sung

  The Department Of Biomedical Engineering School Of Medicine Konkuk University

• KANG Ho

  Multimedia Group, Information and Communications University

• Kang Ho

  Multimedia Group Information And Communications University

関連論文

• Enhancement of the Contrast in Mammographic Images Using the Homomorphic Filter Method
• A Microcalcification Detection Using Adaptive Contrast Enhancement on Wavelet Transform and Neural Network(Biological Engineering)
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