A Novel Detection Algorithm for Micro-calcifications Using Wavelet-domain Detection and Adaptive Network Based Fuzzy Inference System
Zhang Jua · Hangtian yixue yu yixue gongcheng · 2010
Objective To find a novel computer aided diagnosis algorithm for automatic detection of important signs of micro-calcifications in breast cancer mammogram.Methods Discrete wavelet transform was proposed to decompose the high-frequency information of image,detect the suspicious micro-calcifications in wavelet-domain,and apply ANFIS to adjust the parameters adaptively.Finally a multi-layer perceptrons (MLP)-based classifier was used to suppress the false positives.Results With the parameters set corresponding to the middle of the free receiver operating characteristic (FROC) curve,the proposed algorithm achieved a true positive rate of 96.9%,with 0.2 false positive per image.Conclusion Due to the adaptive adjustment,the proposed algorithm obtains higher detection precision and stability than the traditional detection methods for micro-calcifications.