Nothing Special   »   [go: up one dir, main page]

Skip to main content

Development of a Multi-Feature Cad System for Mammography

  • Chapter
Digital Mammography

Part of the book series: Computational Imaging and Vision ((CIVI,volume 13))

Abstract

Routine screening mammography for the early detection of breast cancer in women over the age of 50 is now widespread in many countries including Australia. The introduction of these screening programs has stimulated research into computer systems which may assist radiologists examining these mammogram images.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Nishikawa RM, Doi K, Giger ML, Schmidt RA, Vyborny CJ, Monnier-Cholley L, Papaioannou J, Lu P (1995) Computerized detection of clustered micro calcifications: Evaluation of performance on mammograms from multiple centers. Radiographics 15, pp 443–452

    PubMed  CAS  Google Scholar 

  2. Strickland RN, Hahn HI (1996) Wavelet transforms for detecting micro calcifications in mammograms, IEEE Trans. Medical Imaging 15, pp 218–229.

    Article  PubMed  CAS  Google Scholar 

  3. Netsch T (1996) A scale-space approach for the detection of clustered microcalcifications in digital mammograms. In: K Doi et al (eds.), Digital Mammography’ 96, Elsevier, Amsterdam, pp 301–306.

    Google Scholar 

  4. Guillemet H, Benali H, Kahn E, Di Paola R (1996) Detection and characterization of micro calcifications in digital mammography. In: K Doi et al (eds.), Digital Mammography’ 96, Elsevier, Amsterdam, pp 225–230.

    Google Scholar 

  5. Karssemeijer N (1993) Adaptive noise equalization and recognition of microcalcifcations clusters in mammograms. IJPRAI 7, pp 1357–1376.

    Google Scholar 

  6. Bijaoui A, Rui F (1995) A multiscale vision model adapted to the astronomical images. Signal Processing 46, pp 345–362.

    Article  Google Scholar 

  7. Ema T, Doi K, Nishikawa RM, Jiang Y, Papaioannou J (1995) Image feature analysis and computer-aided diagnosis in mammography: Reduction of false-positive clustered microcalcifications using local edge-gradient analysis. Medical Physics 22, pp 161–169.

    Article  PubMed  CAS  Google Scholar 

  8. Mascio LN, Hernandez JM, Logan CM (1993) Automated analysis for micro calcifications in high resolution digital mammograms. Proc. SPIE 1898, pp 472–479.

    Google Scholar 

  9. Kegelmeyer WP, Pruneda JM, Bourland PD, Hillis A, Riggs MW, Nipper ML (1994) Computer-aided mammographic screening for spiculated lesions. Radiology 191, pp 331–337.

    PubMed  Google Scholar 

  10. Karssemeijer N, te Brake GM (1996) Detection of stellate distortions in mammograms. IEEE Trans. Medical Imaging 15, pp 611–619.

    Article  CAS  Google Scholar 

  11. Zhang M, Gigier ML, Vyborny CJ, Doi K (1996) Mammographic texture analysis for the detection of spiculated lesions. In: K Doi et al (eds.), Digital Mammography’ 96, Elsevier, Amsterdam, pp 347–350.

    Google Scholar 

  12. Kobatake H, Yoshinaga Y (1996) Detection of spicules on mammogram based on skeleton analysis. IEEE Trans. Medical Imaging 15, pp 235–245.

    Article  CAS  Google Scholar 

  13. Suckling J, Parker J, Dance DR, Astley S, Hutt I, Boggis CRM, Ricketts I, Stamatakis E, Cerneaz N, Kok SL, Taylor P, Betal D, Savage J (1994) The mammo-graphic image analysis society digital mammogram database. In: AG Gale et al(eds.), Digital Mammography, Elsevier, Amsterdam, pp 375–378.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1998 Springer Science+Business Media Dordrecht

About this chapter

Cite this chapter

Brown, S., Li, R., Brandt, L., Wilson, L., Kossoff, G., Kossoff, M. (1998). Development of a Multi-Feature Cad System for Mammography. In: Karssemeijer, N., Thijssen, M., Hendriks, J., van Erning, L. (eds) Digital Mammography. Computational Imaging and Vision, vol 13. Springer, Dordrecht. https://doi.org/10.1007/978-94-011-5318-8_30

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-5318-8_30

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6234-3

  • Online ISBN: 978-94-011-5318-8

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics