| dataset08 | R Documentation |
This is referred to in the book as the "PEN" dataset. It consists of 112 cases, 64 of which are diseased, interpreted in five treatments (basically different image compression algorithms) by five radiologists using the FROC paradigm (the inferred ROC dataset is included; the original FROC data is lost).
dataset08
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 [1:5, 1:5, 1:112, 1], ratings of non-lesion localizations, NLs
rating$LL, num [1:5, 1:5, 1:64, 1], ratings of lesion localizations, LLs
rating$LL_ILNA, this placeholder is used only for LROC data
lesions$perCase, int [1:64], number of lesions per diseased case
lesions$IDs, num [1:64, 1], numeric labels of lesions on diseased cases
lesions$weights, num [1:64, 1], weights (or clinical importances) of lesions
descriptions$fileName, chr, "dataset08", base name of dataset in 'data' folder
descriptions$type, chr "ROC", the data type
descriptions$name, chr "PENEDO", the name of the dataset
descriptions$truthTableStr, num [1:5, 1:5, 1:112, 1:2], truth table structure
descriptions$design, chr "FCTRL", study design, factorial dataset
descriptions$modalityID, chr [1:5] "0" "1" "2" "3" ..., treatment labels
descriptions$readerID, chr [1:5] "0" "1" "2" "3" ..., reader labels
Penedo et al. Free-Response Receiver Operating Characteristic Evaluation of Lossy JPEG2000 and Object-based Set Partitioning in Hierarchical Trees Compression of Digitized Mammograms. Radiology. 2005;237(2):450-457.
str(dataset08) PlotEmpiricalOperatingCharacteristics(dataset = dataset08, opChType = "ROC")$Plot
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