Clusters of fine, granular microcalcifications in mammograms may be an early sign of disease. Individual grains are difficult to detect and segment due to size and shape variability and because the background mammogram texture is inhomogeneous. We present a two-stage method based on wavelet transforms for detecting and segmenting calcifications. The first stage consists of a full resolution wavelet transform, which is simply the conventional filter bank implementation without downsampling, so that all sub-bands remain at full size. Four octaves are computed with two inter-octave voices for finer scale resolution. By appropriate selection of the wavelet basis the detection of microcalcifications in the relevant size range can be nearly optimized in the details sub-bands. Detected pixel sites in the LH, HL, and HH sub-bands are heavily weighted before computing the inverse wavelet transform. The LL component is omitted since gross spatial variations are of little interest. Individual microcalcifications are often greatly enhanced in the output image, to the point where straightforward thresholding can be applied to segment them. FROC curves are computed from tests using a well-known database of digitized mammograms. A true positive fraction of 85% is achieved at 0.5 false positives per image.<>


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Wavelet transforms for detecting microcalcifications in mammography


    Contributors:


    Publication date :

    1994-01-01


    Size :

    485774 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Wavelet Transforms for Detecting Microcalcifications in Mammography

    Strickland, R. N. / Hahn, H. I. / IEEE; Signal Processing Society | British Library Conference Proceedings | 1994


    Detection of Microcalcifications in Digital Mammograms Images Using Wavelet Transform

    L., Cristina / Ponomaryov, Volodymyr / Sanchez R., J. | IEEE | 2006


    Microcalcifications Detection System through Discrete Wavelet Analysis and Contrast Enhancement Techniques

    Leiner, Barba J. / Lorena, Vargas Q. / Cesar, Torres M. et al. | IEEE | 2008



    DDoS Attacks Detecting Algorithm Based on Continuous Wavelet Transforms with Reliability Evaluation

    Yang, X. / Hou, G. / Yang, S. | British Library Online Contents | 2008