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International Workshop on Digital Mammography

IWDM 2006: Digital Mammography pp 105–110Cite as

The Impact of Integration of Computer-Aided Detection and Human Observers

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Part of the Lecture Notes in Computer Science book series (LNIP,volume 4046)

Abstract

We evaluated the impact of integration of CAD (Computer-Aided Detection) system and human observers in digital mammography. We compared the diagnostic efficacy of non-informed observers and informed observers regarding the CAD system’s ability (average FP (false positive) per four images and sensitivity of microcalcifications and mass) to detect cancer. With the informed-group, we previously informed them of the accuracy of CAD. In each group, observers recorded the diagnosis before utilizing the CAD system and after utilizing the CAD system according to BI-RADs category and to six additional categories associated with diagnostic confidence. Regarding diagnostic accuracy, with the informed group, sensitivity and NPV were improved without an increase in FP. On the other hand, the diagnostic accuracy of human observers was influenced by prior notification of CAD’s accuracy and by CAD’s performance in cancer detection itself.

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References

  1. Taylor, P., Given-Wilson, R., Potts, H., et al.: Assessing the Impact of CAD Compared to Double Reading by Radiologists. In: IWDM 2004 (2004)

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Author information

Authors and Affiliations

  1. Department of Cancer Screening, Research Center for Cancer Prevention and Screening, National Cancer Center, 5-1-1, Tsukiji, Chuo-Ku, Tokyo, 104-0045, Japan

    Nachiko Uchiyama & Noriyuki Moriyama

  2. Department of Radiology, Tohoku University, 1-1, Seiryomachi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan

    Takayuki Yamada

  3. Department of Surgical Oncology, Tohoku University, 1-1, Seiryomachi, Aoba-Ku, Sendai, Miyagi, 980-8574, Japan

    Noriaki Ohuchi

Authors
  1. Nachiko Uchiyama
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  2. Noriyuki Moriyama
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  3. Takayuki Yamada
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  4. Noriaki Ohuchi
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Editor information

Editors and Affiliations

  1. Division of Imaging Science and Biomedical Engineering, Stopford Building, University of Manchester, Oxford Road, M13 9PT, Manchester

    Susan M. Astley

  2. Wolfson Medical Vision Lab, University of Oxford, UK

    Michael Brady

  3. Imaging Science and Biomedical Engineeering, University of Manchester, Oxford Road, M13 9PT, Manchester, UK

    Chris Rose

  4. Department of Computer Science, University of Wales, Aberystwyth, UK

    Reyer Zwiggelaar

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Uchiyama, N., Moriyama, N., Yamada, T., Ohuchi, N. (2006). The Impact of Integration of Computer-Aided Detection and Human Observers. In: Astley, S.M., Brady, M., Rose, C., Zwiggelaar, R. (eds) Digital Mammography. IWDM 2006. Lecture Notes in Computer Science, vol 4046. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11783237_15

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  • DOI: https://doi.org/10.1007/11783237_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-35625-7

  • Online ISBN: 978-3-540-35627-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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