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Proceedings Paper

Modeling the visual search patterns of mammographers as a Markov process
Author(s): James R. Barrett; Samuel J. Dwyer
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Paper Abstract

A stochastic model, based on a Markov process, is developed for predicting visual search patterns of mammographers. Data for the model comes from tests where mammographic experts searched conventional screen film mammograms for microcalcifications. A three state model is proposed: (1) long dwells, (2) short dwells, and (3) no dwells, or periods of rapid eye movement. Steady state transition probabilities are reached within fourteen iterations.

Paper Details

Date Published: 17 April 1995
PDF: 8 pages
Proc. SPIE 2436, Medical Imaging 1995: Image Perception, (17 April 1995); doi: 10.1117/12.206841
Show Author Affiliations
James R. Barrett, Univ. of Virginia (United States)
Samuel J. Dwyer, Univ. of Virginia (United States)


Published in SPIE Proceedings Vol. 2436:
Medical Imaging 1995: Image Perception
Harold L. Kundel, Editor(s)

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