Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis

Detection of microcalcifications in mammograms using local maxima and adaptive wavelet transform analysis

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Add to cart
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)
Add to cart

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
Electronics Letters — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

© IEE
Published

A method for computer-aided diagnosis of microcalcification clusters in mammogram images is presented. Microcalcification clusters which are an early sign of breast cancer appear as isolated bright spots in mammograms. Therefore they correspond to local maxima of the image. The local maxima of the image is first detected and they are ranked according to a higher-order statistical test performed over the subband domain data.

Inspec keywords: mammography; higher order statistics; medical image processing; wavelet transforms; least mean squares methods

Other keywords: higher-order statistical test; mammogram images; local maxima; microcalcification clusters; computer-aided diagnosis; filterbank structure; adaptive wavelet transform analysis; subband domain data; breast cancer; isolated bright spots; least mean square algorithm

Subjects: Interpolation and function approximation (numerical analysis); Optical, image and video signal processing; X-rays and particle beams (medical uses); Patient diagnostic methods and instrumentation; Computer vision and image processing techniques; Integral transforms in numerical analysis; Interpolation and function approximation (numerical analysis); X-ray techniques: radiography and computed tomography (biomedical imaging/measurement); Biology and medical computing; Numerical approximation and analysis; Integral transforms in numerical analysis

References

    1. 1)
      • Gurcan, M.N., Yardimci, Y., Cetin, A.E.: `Microcalcification detection using adaptive filtering and Gaussianity tests', Proc. of 4th Int. Workshop on Digital Mammography, 1998, Nijmegen, The Netherlands, p. 157–164.
    2. 2)
      • R.N. Strictland , H.I. Hahn . Wavelet transforms for detecting microcalcifications in mammograms. IEEE Trans. Med. Imag. , 218 - 229
    3. 3)
      • H. Yoshida . An improved computer-assisted diagnostic scheme using wavelet transform for detecting of clustered microcalcifications in digital mammograms. Acad. Radiol. , 621 - 627
    4. 4)
      • Ojeda, R., Cardoso, J., Moulines, E.: `Asymptotically invariant Gaussianity test for causal invertible time series', Proc. of IEEE ICASSP, 1997, Munich, Germany, 5, p. 3713–3716.
    5. 5)
      • O.N. Gerek , A.E. Cetin . Adaptive polyphase subband decomposition structures for image compression. IEEE Trans. Image Process. , 1649 - 1660
    6. 6)
      • M.N. Gürcan , Y. Yardimci , A.E. Çetin , R. Ansari . Detection of microcalcifications in mammograms using higher order statistics. IEEE Signal Process. Lett. , 8 , 213 - 216
http://iet.metastore.ingenta.com/content/journals/10.1049/el_20020907
Loading

Related content

content/journals/10.1049/el_20020907
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
Print this page
This is a required field
Please enter a valid email address