We analyze the contributions to the population variance of the area under the ROC curve in assessment of CADx classifier performance and consider a number ...
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The use of the statistical bootstrap in combination with a four-term variance model is demonstrated to solve for the contributions of the uncertainty in Az ...
Components of variance in ROC analysis of CADx classifier ...
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Components of variance in ROC analysis of CADx classifier performance:?.Applications of the bootstrap. 著者名: Wagner,R.F. ( FDA Ctr.for Devices and ...
The present paper demonstrates the isomorphism between patient cases, image readers, and imaging modalities in diagnostic imaging and, respectively, test sets, ...
The ROC curve eliminates the variability in the readers' different operating points and allows one to concentrate on diagnostic ability and its variability.
The purpose of this study was to develop an alternative approach to random-effects, receiver operating characteristic analysis inspired by a general ...
To un- derstand how finite sample size affects CAD development, it is important to analyze the effect of sample size on classifier performance. An important ...
In this study, the output score of the classifier was used as the decision variable in ROC analysis, and the area Az under the ROC curve was used as the ...
The variance of the estimated area under the empiric ROC curve is given by DeLong et al. [40] and can be used for constructing CIs; software programs are ...
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