Comparison of semiparametric receiver operating characteristic models on observer data

Frank W. Samuelson; Xin He

doi:10.1117/1.JMI.1.3.031004

28 August 2014 Comparison of semiparametric receiver operating characteristic models on observer data

Frank W. Samuelson, Xin He

Author Affiliations +

Journal of Medical Imaging, Vol. 1, Issue 3, 031004 (August 2014). https://doi.org/10.1117/1.JMI.1.3.031004

Abstract

The evaluation of medical imaging devices often involves studies that measure the ability of observers to perform a signal detection task on images obtained from those devices. Data from such studies are frequently regressed ordinally using two-sample receiver operating characteristic (ROC) models. We applied some of these models to a number of randomly chosen data sets from medical imaging and evaluated how well they fit using the Akaike and Bayesian information criteria and cross-validation. We find that for many observer data sets, a single-parameter model is sufficient and that only some studies exhibit evidence for the use of models with more than a single parameter. In particular, the single-parameter power-law model frequently well describes observer data. The power-law model has an asymmetric ROC curve and a constant mean-to-sigma ratio seen in studies analyzed with the bi-normal model. It is identical or very similar to special cases of other two-parameter models.

Citation Download Citation

Frank W. Samuelson and Xin He "Comparison of semiparametric receiver operating characteristic models on observer data," Journal of Medical Imaging 1(3), 031004 (28 August 2014). https://doi.org/10.1117/1.JMI.1.3.031004

Published: 28 August 2014

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