| datasetCadLroc | R Documentation |
This is the actual LROC data corresponding to dataset09, which was the inferred
ROC data. Note that the LL field is split into two, LL, representing true
positives where the lesions were correctly localized, and LL_IL, representing true
positives where the lesions were incorrectly localized. The first reader is CAD
and the remaining readers are radiologists.
datasetCadLroc
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 localizations on normal cases
rating$LL, num [1, 1:10, 1:80, 1], ratings of correct localizations on abnormal cases
rating$LL_ILnum [1, 1:10, 1:80, 1], ratings of incorrect localizations on abnormal cases
lesions$perCase, int [1:80], number of lesions per diseased case
lesions$IDs, num [1:80, 1] , numeric labels of lesions on diseased cases
lesions$weights, num [1:80, 1], weights (or clinical importances) of lesions
descriptions$fileName, chr, "datasetCadLroc", base name of dataset in 'data' folder
descriptions$type, chr "LROC", the data type
descriptions$name, chr "NICO-CAD-LROC", the name of the dataset
descriptions$truthTableStr, num [1:2, 1:4, 1:200, 1:2], truth table structure
descriptions$design, chr "FCTRL", study design, factorial dataset
descriptions$modalityID, chr "1", treatment label(s)
descriptions$readerID, chr [1:10] "1" "2" "3" "4" ..., reader labels
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.
str(datasetCadLroc)
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