27 February 2010 Behavior of the decision variables of the three-class ideal observer for univariate trinormal data
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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.
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Darrin C. Edwards, Darrin C. Edwards, Charles E. Metz, Charles E. Metz, } "Behavior of the decision variables of the three-class ideal observer for univariate trinormal data", Proc. SPIE 7627, Medical Imaging 2010: Image Perception, Observer Performance, and Technology Assessment, 76270Y (27 February 2010); doi: 10.1117/12.843942; https://doi.org/10.1117/12.843942
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