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

Skip to main content

Comparison of Methods for Combining Evidence for Spiculated Lesions

  • Chapter
Digital Mammography

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

Abstract

Breast cancer is a leading cause of fatality in women, with approximately 1 in 12 women affected by the disease during their lifetime [1], Mass screening of women using x-ray mammography is currently the most effective method of early detection of the disease; this is essential for successful treatment [2].

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. Breast Cancer. How to help yourself. Macmillan breast cancer campaign, 1994.

    Google Scholar 

  2. A. Forrest and R. Aitken. Mammography screening for breast cancer. Annual Review in Medicine, 41:117–132, 1990.

    Article  CAS  Google Scholar 

  3. S.M. Astley, C.J. Taylor, C.R.M. Boggis, D.L. Asbury, and M. Wilson. Cue generation and combination for mammographic screening. In Brogan, Carr, and Gale, editors, Visual Search II. Taylor and Francis, London, 1993.

    Google Scholar 

  4. W.P. Kegelmeyer, J. Pruneda, P. Bourland, A. Hills, M. Riggs, and M. Nipper. Computer-aided mammographic screening for spiculated lesions. Radiology, 191:331–337, 1994.

    PubMed  Google Scholar 

  5. N. Karssemeijer and C.M. te Brake. Detection of stellate distortions in mammograms. IEEE Transactions on Medical Imaging, 15(5):611–619, 1996.

    Article  PubMed  CAS  Google Scholar 

  6. R. Zwiggelaar, T.C. Parr, J.E. Schumm, I.W. Hutt, S.M. Astley, C.J. Taylor, and C.R.M. Boggis. Model-based detection of spiculated lesions in mammograms. Medical Image Analysis, submitted, 1997.

    Google Scholar 

  7. W.A. Cormack. Prompting Radiologist In Screening Mammography (PRISM) Database. Royal Observatory, Blackford Hill, Edinburgh EH9 3HJ, UK, 1996.

    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

Parr, T., Zwiggelaar, R., Astley, S., Boggis, C., Taylor, C. (1998). Comparison of Methods for Combining Evidence for Spiculated Lesions. 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_13

Download citation

  • DOI: https://doi.org/10.1007/978-94-011-5318-8_13

  • 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