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Computer-based learning to improve breast cancer detection skills
conference contributionposted on 2016-02-03, 14:57 authored by Yan Chen, Alastair Gale, Hazel J. Scott, Andrew Evans, Jonathan James
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.
- Computer Science
Published in13th International Conference on Human-Computer Interaction HUMAN-COMPUTER INTERACTION, PT IV
Pages49 - 57 (9)
CitationCHEN, 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.
- VoR (Version of Record)
Publisher statementThis work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/
Book seriesLecture Notes in Computer Science;5613