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Modeling the visual search patterns of mammographers as a Markov process

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.