Abstract
In breast cancer screening it is important both to improve and maintain cancer detection skills at their highest levels. The introduction of digital imaging enables computer-based learning to be undertaken outside breast screening centres using a range of different devices. The potential for providing computer-based interpretation training using low-cost devices is detailed. The results demonstrated that naive observers can be trained to recognise certain key breast cancer appearances using a low cost display monitor along with a range of HCI techniques.
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Chen, Y., Gale, A., Scott, H., Evans, A., James, J. (2009). Computer-Based Learning to Improve Breast Cancer Detection Skills. In: Jacko, J.A. (eds) Human-Computer Interaction. Interacting in Various Application Domains. HCI 2009. Lecture Notes in Computer Science, vol 5613. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02583-9_6
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DOI: https://doi.org/10.1007/978-3-642-02583-9_6
Publisher Name: Springer, Berlin, Heidelberg
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