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Title: Using eye gaze in intelligent interactive imaging training
Authors: Chen, Yan
Gale, Alastair G.
Issue Date: 2010
Publisher: © ACM
Citation: CHEN, Y. and GALE, A., 2010. Using eye gaze in intelligent interactive imaging training. IN: EGIHMI '10 Proceedings of the 2010 workshop on Eye gaze in intelligent human machine interaction. New York: ACM, pp. 41 - 44.
Abstract: Medical imaging, particularly in breast cancer screening, requires very skilled interpretation only carried out by specially trained radiologists. A key issue is how to train such skilled behaviour? Recent changes to breast imaging has seen the introduction of high resolution digital imaging which facilitates intelligent interactive training. It has also enabled potential computer aided detection of abnormalities. However, this also tends to increase false positive cancer detections. A series of experiments are reported which examine the role of eye gaze and expertise in inspecting these images. It is proposed that current training approaches could be augmented by including aspects of the eye gaze behaviour of expert screening radiologists together with computer aided detection in new practical interactive training systems.
Description: © 2010 ACM. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in EGIHMI '10, doi>10.1145/2002333.2002340
Version: Accepted for publication
DOI: 10.1145/2002333.2002340
URI: https://dspace.lboro.ac.uk/2134/20210
Publisher Link: http://dx.doi.org/10.1145/2002333.2002340
ISBN: 9781605589992
Appears in Collections:Conference Papers and Presentations (Computer Science)

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