A Novel Detection Algorithm for Micro-calcifications Using Wavelet-domain Detection and Adaptive Network Based Fuzzy Inference System
Abstract：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.
Keywords：micro-calcificationsdiscrete wavelet transformadaptive neural networksuzzy in ference system
Publication Date：2010-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)