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Classifying Image Features in the Last Screening Mammograms Prior to Detection of a Malignant Mass

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Digital Mammography

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

Abstract

Survival from breast cancer is directly related to the stage at diagnosis. The earlier the detection, the higher chances of successful treatment [1]. In an attempt to improve early detection, a study has been undertaken to analyze the screening mammograms of breast cancer patients taken prior to cancer detection.

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Author information

Authors and Affiliations

  1. Electrical & Computer Eng Dept, University of British Columbia, Canada

    Mohammad Sameti & Rabab K. Ward

  2. Cancer Imaging Dept, B. C Cancer Research Center, Canada

    Mohammad Sameti & Branko Palcic

  3. Radiology Dept, British Columbia Cancer Agency, Canada

    Jacqueline Morgan-Parkes

Authors
  1. Mohammad Sameti
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  2. Jacqueline Morgan-Parkes
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  3. Rabab K. Ward
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  4. Branko Palcic
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Corresponding author

Correspondence to Mohammad Sameti .

Editor information

Editors and Affiliations

  1. Department of Radiology, University Hospital Nijmegen, Nijmegen, The Netherlands

    Nico Karssemeijer , Martin Thijssen , Jan Hendriks  & Leon van Erning , ,  & 

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© 1998 Springer Science+Business Media Dordrecht

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Sameti, M., Morgan-Parkes, J., Ward, R.K., Palcic, B. (1998). Classifying Image Features in the Last Screening Mammograms Prior to Detection of a Malignant Mass. 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_20

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  • DOI: https://doi.org/10.1007/978-94-011-5318-8_20

  • 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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