Hostname: page-component-586b7cd67f-t8hqh Total loading time: 0 Render date: 2024-11-28T11:27:41.956Z Has data issue: false hasContentIssue false

Eye Gaze Pattern Analysis of Whole Slide Image Viewing Behavior in PathEdEx Platform

Published online by Cambridge University Press:  04 August 2017

Ilker Ersoy
Affiliation:
Department of Pathology and Anatomical Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA. MU Informatics Institute, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Misha Kovalenko
Affiliation:
Department of Pathology and Anatomical Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA. MU Informatics Institute, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Chi-Ren Shyu
Affiliation:
Department of Pathology and Anatomical Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA. MU Informatics Institute, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Richard Hammer
Affiliation:
Department of Pathology and Anatomical Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA.
Dmitriy Shin
Affiliation:
Department of Pathology and Anatomical Sciences, University of Missouri-Columbia, Columbia, MO, 65211, USA. MU Informatics Institute, University of Missouri-Columbia, Columbia, MO, 65211, USA.

Abstract

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Abstract
Copyright
© Microscopy Society of America 2017 

References

[1] Mercan, E, et al Localization of diagnostically relevant regions of interest in whole slide images: a comparative study. Journal of Digital Imaging 29(4 2016). p. 496506.CrossRefGoogle ScholarPubMed
[2] Walkowski, S, et al Exploring viewing behavior data from whole slide images to predict correctness of students’ answers during practical exams in oral pathology. Journal of Pathology Informatics 6 2015). p. 28.Google Scholar
[3] Raghunath, V, et al Mouse cursor movement and eye tracking data as an indicator of pathologists’ attention when viewing digital whole slide images. Journal of Pathology Informatics 3 2012). p. 43.CrossRefGoogle ScholarPubMed
[4] Krupinski, EA, et al Eye-movement study and human performance using telepathology virtual slides: implications for medical education and differences with experience. Human Pathology 37(12 2006). p. 15431556.CrossRefGoogle ScholarPubMed
[5] Al-Milaji, Z, et al Hybrid deep learning framework for the classification of epithelial and stromal tissues in h&e images. Proc. International Workshop on Deep Learning for Pattern Recognition (2016).Google Scholar
[6] Alzubaidi, L, et al Nucleus detection in h&e images with fully convolutional regression networks. Proc. First International Workshop on Deep Learning for Pattern Recognition (2016).Google Scholar