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Prompting in Practice: How Can We Ensure Radiologists Make Best Use of Computer-Aided Detection Systems in Screening Mammography?

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Digital Mammography

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

Abstract

PROMAM is a prompting system for mammography which aims to improve radiologists’ detection performance by drawing their attention to possible ill-defined lesions and micro-calcification clusters.

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References

  1. Gale, A. G. (1995) Human Response to Visual Stimuli. In Hendee, W. and Wells. P. (Eds.) The Perception of Visual Information. Springer-Verlag.

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  2. Hartswood, M., Procter, R., Williams, L. and Prescott, R. (1997) Subjective Reaction to Prompting in Screening Mammography. In Taylor, C. et al. (Eds.) Proceedings of the First Medical Image Analysis and Understanding Workshop. Oxford, July.

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  4. Hartswood, M., Procter, R. and Williams, L. (1998) Prompting in mammography: Computer-aided Detection or Computer-aided Diagnosis? Submitted to the Second Medical Image Analysis and Understanding Workshop. Leeds, July.

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  5. Hutt, I. (1996) The Computer-Aided Detection of Abnormalities in Digital Mammograms. Unpublished Ph.D. Thesis, Manchester University.

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  6. Williams, L., Prescott, R. and Hartswood, M. (1998) Computer-aided cancer detection and the UK National breast screening programme. To be published in Karssemeijer, N. (Ed.) Proceedings of the Fourth International Workshop on Digital Mammography. Nijmegen, June.

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© 1998 Springer Science+Business Media Dordrecht

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Hartswood, M., Procter, R., Williams, L.J. (1998). Prompting in Practice: How Can We Ensure Radiologists Make Best Use of Computer-Aided Detection Systems in Screening Mammography?. 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_59

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  • DOI: https://doi.org/10.1007/978-94-011-5318-8_59

  • 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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