Abstract
This paper describes an approach for analyzing radiographic tumor detection which is based on the light adaptation properties of photoreceptor cells (the cones) in the retina. Factors which affect the sensitivity of these cells will be discussed, changes in sensitivity due to light adaptation will be demonstrated and preliminary results from experiments dealing with the effect of age and radiologic training will be presented. A computer model of these processes has been constructed that appears to be useful for predicting the sensitivity of the visual system for detecting low contrast patches on a variety of background intensity distributions. Predictions of observer performance based on calculations from this model will provide a means for evaluating the clinical usefulness of image processing/enhancement schemes.
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© 1984 Martinus Nijhoff Publishers, The Hague
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Baxter, B., Blackburn, C., Normann, R. (1984). Can We Predict Visual Performance Using a Model of the Human Eye?. In: Deconinck, F. (eds) Information Processing in Medical Imaging. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-6045-9_31
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DOI: https://doi.org/10.1007/978-94-009-6045-9_31
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-009-6047-3
Online ISBN: 978-94-009-6045-9
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