12. Detection of Masses: Effect of Training 940 TP mass regions and 38000 normal regions in training set 5 fold cross validation
13. Use of CAD prompts is intended to avoid oversights ImageChecker, R2 Technology / Hologic
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16. Manning et al., Categories of observer error from eye-tracking and AFROC data, SPIE Medical Imaging 2004, Proc SPIE Vol 5372 Why are cancers missed? Detection of lung nodules by 24 readers in 120 digitized chest radiographs
17. CAD (R2) and 10 experienced screening radiologists 115 visible mass priors, 250 normals Radiologists CAD
18. CAD performance on regions reported by readers 115 visible mass priors, 250 normals on regions marked by readers
22. Effect of CAD on reader scores -1.26 (p=.54) -4.87 (p<.002) 48 +5.25 (p<.003) -3.05 (p<.05) +2.00 (p=.14) -3.96 (p<.001) 146 All TP marked by CAD (n=44) TP not marked by CAD (n=39) Training
23. Effect of CAD on reader scores +6.37 (p<.001) -1.51 (p<.001) 48 +2.75 (p<.001) -0.93 (p<.001) +4.56 (p<.001) -1.22 (p<.001) 146 All FP marked by CAD (n=75) FP not marked by CAD (n=244) Training
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25. Independent Combination of Reader Scores with CAD 10 radiologists, 192 cases with cancers missed in screening