Adaptive microcalcification detection in computer aided diagnosis

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Microcalcification detection is an important part of early breast cancer detection. In this paper, we propose a microcalcification detection method in mammography CAD (computer-aided diagnosis) system. The proposed microcalcification detection includes two parts. One is adaptive mammogram enhancement algorithm using homomorphic filtering in wavelet. The filter parameters are determined by background characteristics. The other is multi-stage microcalcification detection method. To verify our algorithm, we performed experiments and measured free-response operation characteristics (FROC) curve. The results show that the proposed microcalcification detection method is more robust for fluctuating noisy environments.
Publisher
SPRINGER-VERLAG BERLIN
Issue Date
2004
Language
English
Article Type
Article; Proceedings Paper
Keywords

CONTRAST ENHANCEMENT; DIGITAL MAMMOGRAPHY

Citation

COMPUTATIONAL SCIENCE - ICCS 2004, PROCEEDINGS Book Series: Lecture Notes in Computer Science, v.3039, pp.1117 - 4

ISSN
0302-9743
URI
http://hdl.handle.net/10203/85254
Appears in Collection
EE-Journal Papers(저널논문)
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