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Computer-based learning to improve breast cancer detection skills

conference contribution
posted on 03.02.2016, 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.

History

School

  • Science

Department

  • Computer Science

Published in

13th International Conference on Human-Computer Interaction HUMAN-COMPUTER INTERACTION, PT IV

Volume

5613

Pages

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-Verlag

Version

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

2009

Notes

Closed access

ISBN

978-3-642-02582-2

ISSN

0302-9743

Book series

Lecture Notes in Computer Science;5613

Language

en

Editor(s)

Jacko, JA

Location

San Diego, CA