Description Usage Format References Examples

This is referred to in the book as the "TONY" dataset. It consists of 185 cases, 89 of which are diseased, interpreted in two treatments ("BT" = breast tomosynthesis and "DM" = digital mammography) by five radiologists using the FROC paradigm. The diseased cases had at most two cancers (lesions) per case while the maximum number of non-lesion localizations (NLs) per case, over the entire dataset, was 3. The example below displays the wAFROC plot for the first treatment and first reader.

1 |

A list with 8 elements:

`NL`

Ratings array [1:2, 1:5, 1:185, 1:3], of non-lesion localizations, NLs`LL`

Ratings array [1:2, 1:5, 1:89, 1:2], of lesion localizations, LLs`lesionNum`

array [1:89], number of lesions per diseased case`lesionID`

array [1:89, 1:2], labels of lesions on diseased cases`lesionWeight`

array [1:89, 1:2], weights (or clinical importance) of lesions`dataType`

"FROC", the data type`modalityID`

[1:2] "BT" "DM", treatment labels`readerID`

[1:5] "1" "2" "3" "4" ..., reader labels

Chakraborty DP, Svahn T (2011) Estimating the parameters of a model of visual search from ROC data: an alternate method for fitting proper ROC curves. PROC SPIE 7966.

1 2 | ```
str(dataset01)
PlotEmpiricalOperatingCharacteristics(dataset = dataset01, opChType = "wAFROC")$Plot
``` |

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