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Prostate Cancer MR Imaging

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Book cover Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention (Prostate Cancer Imaging 2010)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 6367))

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Abstract

With a total of 192,280 new cases predicted for 2009, prostate cancer (PC) now accounts for 25% of all new male cancers diagnosed in the United States [1]. Furthermore, in their lifetime, one in six men will be clinically diagnosed with having PC, although many more men are found to have histological evidence of PC at autopsy [2,3,4]. Presently, approximately 1 in 10 men will die of PC [5,6]. The ever-aging population and wider spread use of the blood prostate-specific antigen (PSA) test [7,8], as well as the tendency to apply lower cut-off levels for this test [9], will further increase the diagnosis of this disease [10].

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Authors and Affiliations

  1. Radboud University Nijmegen Medical Centre, Nijmegen, The Netherlands

    Jurgen J. Fütterer

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  1. Jurgen J. Fütterer
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Editors and Affiliations

  1. Department of Biomedical Engineering, Rutgers University, 599 Taylor Road, 08854, Piscataway, NJ, USA

    Anant Madabhushi

  2. CSIRO Australian e-Health Research Centre, Royal Brisbane and Women’s Hospital, 4029, Herston, QLD, Australia

    Jason Dowling

  3. Philips Research North America, 345 Scarborough Road, 10510, Briarcliff Manor, NY, USA

    Pingkun Yan

  4. Imaging Research Laboratories, Robarts Research Institute, 100 Perth Drive, N6A 5K8, London, Ontario, Canada

    Aaron Fenster

  5. Department of Electrical and Computer Engineering, University of British Columbia, 2332 Main Mall, V6T 1Z4, Vancouver, BC, Canada

    Purang Abolmaesumi

  6. Brigham and Women’s Hospital and Harvard Medical School, 75 Francis, 02115, St., Boston, MA, USA

    Nobuhiko Hata

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© 2010 Springer-Verlag Berlin Heidelberg

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Fütterer, J.J. (2010). Prostate Cancer MR Imaging. In: Madabhushi, A., Dowling, J., Yan, P., Fenster, A., Abolmaesumi, P., Hata, N. (eds) Prostate Cancer Imaging. Computer-Aided Diagnosis, Prognosis, and Intervention. Prostate Cancer Imaging 2010. Lecture Notes in Computer Science, vol 6367. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15989-3_1

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  • DOI: https://doi.org/10.1007/978-3-642-15989-3_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15988-6

  • Online ISBN: 978-3-642-15989-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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