datasetCadLroc {RJafroc}

Nico Karssemeijer LROC dataset (CAD vs. radiologists)

Description

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.

Usage

datasetCadLroc

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 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

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(datasetCadLroc)