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Title: Computer-based learning to improve breast cancer detection skills
Authors: Chen, Yan
Gale, Alastair G.
Scott, Hazel J.
Evans, Andrew
James, Jonathan
Editors: Jacko, JA
Keywords: Mammogram interpretation
Eye movement
Human-Computer Interaction (HCI)
Issue Date: 2009
Publisher: © Springer-Verlag
Citation: CHEN, Y ... et al., 2009. Computer-based learning to improve breast cancer detection skills. IN: Jacko, J.A. (ed.) Human-Computer Interaction. Interacting in Various Application Domains. 13th International Conference, HCI International 2009, San Diego, CA, USA, July 19-24, 2009, Proceedings, Part IV, pp. 49 - 57.
Series/Report no.: Lecture Notes in Computer Science;5613
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.
Description: Closed access
Version: Published
DOI: 10.1007/978-3-642-02583-9_6
URI: https://dspace.lboro.ac.uk/2134/20211
Publisher Link: http://dx.doi.org/10.1007/978-3-642-02583-9_6
ISBN: 978-3-642-02582-2
ISSN: 0302-9743
Appears in Collections:Closed Access (Computer Science)

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