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Proceedings Paper

Behavior of the decision variables of the three-class ideal observer for univariate trinormal data
Author(s): Darrin C. Edwards; Charles E. Metz
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Paper Abstract

We are attempting to extend receiver operating characteristic (ROC) analysis to tasks with more than two classes. This is difficult because of the rapid increase in complexity, in general, of both observer behavior and evaluation of its performance, as the number of classes involved increases. Many researchers have proposed addressing this complexity by imposing simplifications on the model; for example, by using univariate data rather than the bivariate data employed by the general three-class ideal observer. We have investigated a univariate trinormal model for the underlying data of a three-class ideal observer. Although a reasonably complete description of the ideal observer's behavior in this case is attainable, this behavior is more complicated than might intuitively be expected.

Paper Details

Date Published: 27 February 2010
PDF: 11 pages
Proc. SPIE 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, 76270Y (27 February 2010); doi: 10.1117/12.843942
Show Author Affiliations
Darrin C. Edwards, The Univ. of Chicago (United States)
Charles E. Metz, The Univ. of Chicago (United States)

Published in SPIE Proceedings Vol. 7627:
Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment
David J. Manning; Craig K. Abbey, Editor(s)

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