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Computer-based learning to improve breast cancer detection skills
conference contribution
posted on 2016-02-03, 14:57 authored by Yan Chen, Alastair Gale, Hazel J. Scott, Andrew Evans, Jonathan JamesIn 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.
History
School
- Science
Department
- Computer Science
Published in
13th International Conference on Human-Computer Interaction HUMAN-COMPUTER INTERACTION, PT IVVolume
5613Pages
49 - 57 (9)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.Publisher
© Springer-VerlagVersion
- VoR (Version of Record)
Publisher statement
This 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/Publication date
2009Notes
Closed accessISBN
978-3-642-02582-2ISSN
0302-9743Publisher version
Book series
Lecture Notes in Computer Science;5613Language
- en