Abstract
Human visual attention is limited which gives rise to errors in the inspection of medical image displays. Computer Aided Diagnosis (CAD) is sometimes used to help reduce errors of oversight. A new application in intelligent computing is proposed to improve the efficiency of CAD founded on targeted image processing based upon knowledge of where an observer is looking in an image. The domain of medical imaging and breast screening is used to provide an exemplar of the approach and how it could be used to improve current radiological diagnostic performance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Astley, S.M., Gilbert, F.J.: Computer-aided Detection in Mammography. Clinical Radiology 59(5), 390–399 (2004)
Gilbert, F.J., Astley, S.M., Gillan, M.G., Agbaje, O.F., Wallis, M.G., James, J., Boggis, C.R., Duffy, S.W.: CADET II Group. Single Reading with Computer-aided Detection for Screening Mammography N. Engl. J. Med. 359(16), 1675–1759 (2008)
Gale, A.G.: Human Response to Visual Stimuli. In: Hendee, W., Wells, P. (eds.) Perception of Visual Information, 2nd edn. Springer, New York (1997)
Chen, Y., Scott, H.J., Gale, A.G.: Breast Screening: Visual Search as an Aid for Digital Mammographic Interpretation Training. In: Manning, D.J., Abbey, C. (eds.) SPIE Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment (2010) (in Press)
Darker, I.T., Kuo, P., Yang, M.Y., Blechko, A., Grecos, C., Makris, D., Nebel, J.C., Gale, A.G.: Automation of the CCTV-mediated Detection of Individuals Illegally Carrying Firearms: Combining Psychological and Technological Approaches. In: Rahman, Z., Reichenbach, S.E., Neifeld, M.A. (eds.) Proceedings of SPIE Defense, Security, and Sensing, vol. 7341, 73410P (2009)
Liu, X., Gale, A.G.: Searching for Possible Threat Items to Safe Air Travel: Human Error and Training. In: Stephanidis, C. (ed.). LNCS. Springer, Heidelberg (2007)
Chen, Y., Gale, A., Scott, H., Evans, A., James, J.: Computer-Based Learning to Improve Breast Cancer Detection Skills. In: Jacko, J.A. (ed.) Human-Computer Interaction, Part IV, HCII 2009. LNCS, vol. 5613, pp. 49–57. Springer, Heidelberg (2009)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Chen, Y., Gale, A. (2010). Intelligent Computing Applications Based on Eye Gaze: Their Role in Medical Image Interpretation. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_43
Download citation
DOI: https://doi.org/10.1007/978-3-642-14831-6_43
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14830-9
Online ISBN: 978-3-642-14831-6
eBook Packages: Computer ScienceComputer Science (R0)