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Comparison of Methods for Combining Evidence for Spiculated Lesions

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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].

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References

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

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  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.

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

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© 1998 Springer Science+Business Media Dordrecht

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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

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  • 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

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