Observer Performance Methods for Diagnostic Imaging

1 Preliminaries



PART A The receiver operating characteristic (ROC) paradigm



2 The binary paradigm

3 Modeling the binary task

4 The ratings paradigm

5 Empirical AUC

6 Binormal model

7 Sources of variability in AUC



PART B Two significance testing methods for the ROC paradigm



8 Hypothesis testing

9 Dorfman-Berbaum-Metz-Hillis (DBMH) analysis

10 Obuchowski-Rockette-Hillis (ORH) analysis

11 Sample size estimation



PART C The free-response ROC (FROC) paradigm



12 The FROC paradigm

13 Empirical operating characteristics possible with FROC data

14 Computation and meanings of empirical FROC FOM-statistics and AUC measures

15 Visual search paradigms

16 The radiological search model (RSM)

17 Predictions of the RSM

18 Analyzing FROC data

19 Fitting RSM to FROC/ROC data and key findings



PART D Selected advanced topics



20 Proper ROC models

21 The bivariate binormal model

22 Evaluating standalone CAD versus radiologists

23 Validating CAD analysis

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• Engenharia biomédica
• Física médica
• Imagiologia médica

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