dataset10 {RJafroc} | R Documentation |
Mark Ruschin ROC dataset
Description
This is referred to in the book as the "RUS" dataset. It consists of 90 cases, 40 of which are diseased, the images were acquired at three dose levels, which can be regarded as treatments. "0" = conventional film radiographs, "1" = digitized images viewed on monitors, Eight radiologists interpreted the cases using the FROC paradigm. These have been reduced to ROC data by using the highest ratings (the original FROC data is lost).
Usage
dataset10
Format
A list with 3 elements: $ratings
, $lesions
and $descriptions
; $ratings
contain 3 elements, $NL
, $LL
and $LL_IL
as sub-lists; $lesions
contain 3 elements, $perCase
, $IDs
and $weights
as sub-lists; $descriptions
contain 7 elements, $fileName
, $type
, $name
,
$truthTableStr
, $design
, $modalityID
and $readerID
as sub-lists;
rating$NL
, num [1:3, 1:8, 1:90, 1], ratings of non-lesion localizations, NLsrating$LL
, num [1:3, 1:8, 1:40, 1] , ratings of lesion localizations, LLsrating$LL_IL
NA, this placeholder is used only for LROC datalesions$perCase
, int [1:40], number of lesions per diseased caselesions$IDs
, num [1:40, 1], numeric labels of lesions on diseased caseslesions$weights
, num [1:40, 1], weights (or clinical importances) of lesionsdescriptions$fileName
, chr, "dataset10", base name of dataset in 'data' folderdescriptions$type
, chr "ROC", the data typedescriptions$name
, chr "RUSCHIN", the name of the datasetdescriptions$truthTableStr
, num [1:3, 1:8, 1:90, 1:2], truth table structuredescriptions$design
, chr "FCTRL", study design, factorial datasetdescriptions$modalityID
, chr [1:3] "1" "2" "3", treatment label(s)descriptions$readerID
, chr [1:8] "1" "2" "3" "4" ..., reader labels
References
Ruschin M, et al. Dose dependence of mass and microcalcification detection in digital mammography: free response human observer studies. Med Phys. 2007;34:400 - 407.
Examples
str(dataset10)
PlotEmpiricalOperatingCharacteristics(dataset = dataset10, opChType = "ROC")$Plot