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Journal of Medical Imaging

Comparison of semiparametric receiver operating characteristic models on observer data
Author(s): Frank W. Samuelson; Xin He
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Paper 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.

Paper Details

Date Published: 28 August 2014
PDF: 10 pages
J. Med. Img. 1(3) 031004 doi: 10.1117/1.JMI.1.3.031004
Published in: Journal of Medical Imaging Volume 1, Issue 3
Show Author Affiliations
Frank W. Samuelson, U.S. Food and Drug Administration (United States)
Xin He, U.S. Food and Drug Administration (United States)


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