Nothing Special   »   [go: up one dir, main page]

skip to main content
10.1145/2578153.2578189acmconferencesArticle/Chapter ViewAbstractPublication PagesetraConference Proceedingsconference-collections
research-article

Experts vs. novices: applying eye-tracking methodologies in colonoscopy video screening for polyp search

Published: 26 March 2014 Publication History

Abstract

We present in this paper a novel study aiming at identifying the differences in visual search patterns between physicians of diverse levels of expertise during the screening of colonoscopy videos. Physicians were clustered into two groups -experts and novices- according to the number of procedures performed, and fixations were captured by an eye-tracker device during the task of polyp search in different video sequences. These fixations were integrated into heat maps, one for each cluster. The obtained maps were validated over a ground truth consisting of a mask of the polyp, and the comparison between experts and novices was performed by using metrics such as reaction time, dwelling time and energy concentration ratio. Experimental results show a statistically significant difference between experts and novices, and the obtained maps show to be a useful tool for the characterisation of the behaviour of each group.

References

[1]
American Cancer Society, 2013. How is colorectal cancer staged? American Cancer Society website, July.
[2]
Barton, R. 2008. Accrediting competence in colonoscopy: validity and reliability of the uk joint advisory group/nhs bowel cancer screening programme accreditation assessment. Gastrointestinal Endoscopy 67, 5, AB77--AB77.
[3]
Bernal, J., Sánchez, J., and Vilariño, F. 2012. Towards automatic polyp detection with a polyp appearance model. Pattern Recognition 45, 9, 3166--3182.
[4]
Borji, A. et al. 2012. Quantitative analysis of human-model agreement in visual saliency modeling: A comparative study. IEEE Transactions on Image Processing 22, 1, 55.
[5]
Bressler, B. et al. 2007. Rates of new or missed colorectal cancers after colonoscopy and their risk factors: a population-based analysis. Gastroenterology 132, 1, 96--102.
[6]
Chen, H. et al. 2011. Learning-based prediction of visual attention for video signals. IEEE Transactions on Image Processing 20, 99, 1--1.
[7]
Chung, A. J. et al. 2005. Extraction of visual features with eye tracking for saliency driven 2d/3d registration. Image and Vision Computing 23, 11, 999--1008.
[8]
Dempere-Marco, Laura et al. 2011. A novel framework for the analysis of eye movements during visual search for knowledge gathering. Cognitive Computation 3, 1, 206--222.
[9]
Harding, P. et al. 2009. A comparison of feature detectors with passive and task-based visual saliency. Image Analysis, 716--725.
[10]
Hillstrom, A. P. et al. 2013. Searching a house for valuables to steal: The influence of experience with burglary and other offences. Book of Abstracts of the 17th ECEM 6, 3, 244.
[11]
Hu, X-P et al. 2003. Hot spot detection based on feature space representation of visual search. IEEE Transactions on Medical Imaging, 22, 9 (sept.), 1152--1162.
[12]
Khan, Rana et al. 2012. Analysis of eye gaze: Do novice surgeons look at the same location as expert surgeons during a laparoscopic operation? Surgical endoscopy 26, 12, 3536--3540.
[13]
Mann, C. M. et al. 2013. Rapidly imparting the skills of experts to novice participants in threat assessment tasks. Book of Abstracts of the 17th ECEM 6, 3, 245.
[14]
Martinez, W. L. et al. 2001. Computational statistics handbook with MATLAB, vol. 2. Chapman & Hall/CRC.
[15]
Privitera, C. M. et al. 2000. Algorithms for defining visual regions-of-interest: Comparison with eye fixations. IEEE Transactions on Pattern Analysis and Machine Intelligence 22, 9, 970--982.

Cited By

View all
  • (2023)Co-Operative CNN for Visual Saliency Prediction on WCE ImagesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095510(1-5)Online publication date: 4-Jun-2023
  • (2023)Vigilance Assessment and EnhancementHandbook of Neuroengineering10.1007/978-981-16-5540-1_75(2769-2792)Online publication date: 3-Feb-2023
  • (2021)Statistical modeling of dynamic eye-tracking experiments: Relative importance of visual stimulus elements for gaze behavior in the multi-group caseBehavior Research Methods10.3758/s13428-021-01576-853:6(2650-2667)Online publication date: 23-May-2021
  • Show More Cited By

Index Terms

  1. Experts vs. novices: applying eye-tracking methodologies in colonoscopy video screening for polyp search

      Recommendations

      Comments

      Please enable JavaScript to view thecomments powered by Disqus.

      Information & Contributors

      Information

      Published In

      cover image ACM Conferences
      ETRA '14: Proceedings of the Symposium on Eye Tracking Research and Applications
      March 2014
      394 pages
      ISBN:9781450327510
      DOI:10.1145/2578153
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 26 March 2014

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. colonoscopy
      2. experts
      3. eye-tracking
      4. medical imaging
      5. novices
      6. polyp
      7. saliency

      Qualifiers

      • Research-article

      Funding Sources

      • Spanish Government

      Conference

      ETRA '14
      ETRA '14: Eye Tracking Research and Applications
      March 26 - 28, 2014
      Florida, Safety Harbor

      Acceptance Rates

      Overall Acceptance Rate 69 of 137 submissions, 50%

      Upcoming Conference

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)12
      • Downloads (Last 6 weeks)2
      Reflects downloads up to 29 Sep 2024

      Other Metrics

      Citations

      Cited By

      View all
      • (2023)Co-Operative CNN for Visual Saliency Prediction on WCE ImagesICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)10.1109/ICASSP49357.2023.10095510(1-5)Online publication date: 4-Jun-2023
      • (2023)Vigilance Assessment and EnhancementHandbook of Neuroengineering10.1007/978-981-16-5540-1_75(2769-2792)Online publication date: 3-Feb-2023
      • (2021)Statistical modeling of dynamic eye-tracking experiments: Relative importance of visual stimulus elements for gaze behavior in the multi-group caseBehavior Research Methods10.3758/s13428-021-01576-853:6(2650-2667)Online publication date: 23-May-2021
      • (2021)Vigilance Assessment and EnhancementHandbook of Neuroengineering10.1007/978-981-15-2848-4_75-1(1-24)Online publication date: 31-Dec-2021
      • (2019)MedGaze: Gaze Estimation on WCE Images Based on a CNN Autoencoder2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)10.1109/BIBE.2019.00071(363-367)Online publication date: Oct-2019
      • (2018)Development of diagnostic performance & visual processing in different types of radiological expertiseProceedings of the 2018 ACM Symposium on Eye Tracking Research & Applications10.1145/3204493.3204562(1-6)Online publication date: 14-Jun-2018
      • (2017)Eye Movement Traits in Differentiating Experts and LaymenMan-Machine Interactions 510.1007/978-3-319-67792-7_9(82-91)Online publication date: 20-Sep-2017

      View Options

      Get Access

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Media

      Figures

      Other

      Tables

      Share

      Share

      Share this Publication link

      Share on social media