dataset09 {RJafroc} | R Documentation |
Nico Karssemeijer ROC dataset (CAD vs. radiologists)
Description
This is referred to in the book as the "NICO" dataset. It consists of 200 mammograms,
80 of which contain one malignant mass,
interpreted by a CAD system and nine radiologists using the
LROC paradigm. The first reader is CAD. The highest rating was used to convert this to an ROC
dataset. The original LROC data is datasetCadLroc
. Analyzing this
data requires methods described in the book, implemented in the function
StSignificanceTestingCadVsRad
.
Usage
dataset09
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, 1:10, 1:200, 1], ratings of non-lesion localizations, NLsrating$LL
, num [1, 1:10, 1:80, 1], ratings of lesion localizations, LLsrating$LL_IL
NA, this placeholder is used only for LROC datalesions$perCase
, int [1:80], number of lesions per diseased caselesions$IDs
, num [1:80, 1], numeric labels of lesions on diseased caseslesions$weights
, num [1:80, 1], weights (or clinical importances) of lesionsdescriptions$fileName
, chr, "dataset09", base name of dataset in 'data' folderdescriptions$type
, chr "ROC", the data typedescriptions$name
, chr "NICO-CAD-ROC", the name of the datasetdescriptions$truthTableStr
, num [1, 1:10, 1:200, 1:2], truth table structuredescriptions$design
, chr "FCTRL", study design, factorial datasetdescriptions$modalityID
, chr "1", treatment label(s)descriptions$readerID
, chr [1:10] "1" "2" "3" "4" ..., reader labels
References
Hupse R et al. Standalone computer-aided detection compared to radiologists' performance for the detection of mammographic masses. Eur Radiol. 2013;23(1):93-100.
Examples
str(dataset09)
PlotEmpiricalOperatingCharacteristics(dataset = dataset09, rdrs = 1:10, opChType = "ROC")$Plot