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Title: | Rich interaction and feedback supported mammographic training: A trial of an augmented reality approach |
Authors: | Tang, Qiang Chen, Yan Gale, Alastair G. |
Keywords: | Augmented reality Mammographic training Interaction Feedback |
Issue Date: | 2017 |
Publisher: | © Springer |
Citation: | TANG, Q., CHEN, Y. and GALE, A.G., 2017. Rich interaction and feedback supported mammographic training: A trial of an augmented reality approach. IN: Valdes Hernandez, M. and Gonzalez-Castro, V. (eds). Medical Image Understanding and Analysis, 21st Annual Conference, MIUA 2017, Edinburgh, UK, 11-13 July 2017, pp.377-385. |
Series/Report no.: | Communications in Computer and Information Science;723 |
Abstract: | The conventional ‘keyboard and workstation’ approach allows complex medical image presentation and manipulation during mammographic interpretation. Nevertheless, providing rich interaction and feedback in real time for navigational training or computer assisted detection of disease remains a challenge. Through computer vision and state of the art AR (Augmented Reality) technique, this study proposes an ‘AR mammographic workstation’ approach which could support workstation-independent rich interaction and real-time feedback. This flexible AR approach explores the feasibility of facilitating various mammographic training scenes via AR as well as its limitations. |
Description: | This paper is closed access until 22 June 2018. |
Version: | Accepted for publication |
DOI: | 10.1007/978-3-319-60964-5_33 |
URI: | https://dspace.lboro.ac.uk/2134/32519 |
Publisher Link: | https://doi.org/10.1007/978-3-319-60964-5_33 |
ISBN: | 9783319609638 |
ISSN: | 1865-0929 |
Appears in Collections: | Closed Access (Computer Science)
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