Acta Photonica Sinica, Volume. 39, Issue 6, 1040(2010)

Microcalcification Diagnosis Based on Dual-Tree Complex Wavelet Transform

YANG Wei and GAO Xie-ping*
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    References(20)

    [1] [1] ALAYHOGLU B A,AGHDASI F.A wavelet neural network for the detection of microcalcifications in multiscale enhanced digitized mammograms[C].AFRICON,1999:389-394.

    [2] [2] DHAWAN A P,CHITRE Y,KAISER B C.Analysis of mammographic microcalcifications using gray-level image structure features[J].IEEE Transaction on Medical Imaging,1996,15(3):246-259.

    [3] [3] ZADEH H S,RAD F R,NEJAD S P.Comparison of multiwavelet,wavelet,haralick,and shape feature for microcalcification classification in mammograms[J]. Pattern Recognition, 2004,37:1973-1986.

    [4] [4] ZHANG Lei,GAO Xie-ping.Research on translation-invariant wavelet transform for classification in mammograms[C].The 3rd International Conference on Natural Computation (ICNC′07),2007,3:571-575.

    [8] [8] MAGAREY J F A,KINGSBURY N G.Motion estimation using a complex-valued wavelet transform[J].IEEE Trans on Signal Processing,Special Issue on Wavelets and Filter Banks,1998,46(4):1069-1084.

    [9] [9] KINGSBURY N G.The dual-tree complex wavelet transform:a new technique for shift invariance and directional filters[C].IEEE Digital Signal Processing Workshop,DSP 98,Bryce Canyon,August 1998,paper No86.

    [10] [10] KINGSBURY N G.Image processing with complex wavelets[C].Phil.Trans.Royal Society London A,September 1999,on a Discussion Meeting on “Wavelets:the key to intermittent information ”,London,February 24-25,1999.

    [11] [11] KINGSBURY N G.Complex wavelets for shift invariant analysis and filtering of signals[J].Journal of Applied and Computational Harmonic Analysis,2001,10(3):234-253.

    [12] [12] SELESNICK I W,BARANIUK R G,KINGSBURY N G.The dual-tree complex wavelet transform[J]. IEEE Signal Processing Magazine,2005,22:123-151.

    [13] [13] RASHED E A,ISMAIL I A,ZAKI S I.Multiresolution mammogram analysis in multilevel decomposition[J].Pattern Recognition Letters, 2007,28(2):286-292.

    [14] [14] MINI M G,THOMAS T.A neural network method for mammogram analysis based on statistical features[C].TENCON,2003,4(4):1489-1492.

    [15] [15] ANTONIE M L,ZAIANE O R,COMAN A.Application of data mining techniques for medical image[C].Proceedings of the Second International Workshop on Multimedia Data Mining,2001.

    [16] [16] BURGES C J C.A tutorial on support vector machines for pattern recognition[J].Data Mining and Knowledge Discovery, 1998,2(2):121-167.

    [17] [17] CRISTIANINI N,SHAWA T J.An introduction to support vector machines and other kernel-based learning methods[M].Cambridge University Press,2000.

    [18] [18] KARSSEMEIJER N.Adaptive noise equalization and recognition of microcalcification clusters in mammograms[J].International Journal of Pattern Recognition and Artificial Intelligence,1993,7(6):1357-1376.

    [19] [19] SUCKLING J,PARKER J,DANCE D,et al.The mammographic images analysis society digital mammogram database[C].Proceedings of the 2nd International Workshop on Digital Mammography,1994:375-378.

    [20] [20] PAPADOPOULOS A,FOTIADIS D I,LIKAS A.Characterization of clustered microcalcifications in digitized mammograms using neural networks and support vector machines[J].Artificial Intelligence in Medicine,2005,34:141-150.

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    YANG Wei, GAO Xie-ping. Microcalcification Diagnosis Based on Dual-Tree Complex Wavelet Transform[J]. Acta Photonica Sinica, 2010, 39(6): 1040

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    Paper Information

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    Received: Oct. 7, 2008

    Accepted: --

    Published Online: Aug. 31, 2010

    The Author Email: Xie-ping GAO (xpgao@xtu.edu.cn)

    DOI:

    CSTR:32186.14.

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