Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/32519

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
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)

Files associated with this item:

File Description SizeFormat
final_AR_mammographic_training_qiang_tang.pdfAccepted version4.14 MBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.