| datasetCrossedModality | R Documentation |
This is a crossed treatment dataset, see book Section 18.5. There are two treatment factors.
The first treatment factor modalityID1 can be "F" or "I", which represent two CT reconstruction
algorithms. The second treatment factor modalityID2 can be "20" "40" "60" "80", which
represent the mAs values of the image acquisition. The factors are fully crossed. The function
StSignificanceTestingCrossedModalities analyzes such datasets.
datasetCrossedModality
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 [1:2, 1:4, 1:11, 1:68, 1:5], ratings of non-lesion localizations, NLs
rating$LL, num [1:2, 1:4, 1:11, 1:34, 1:3], ratings of lesion localizations, LLs
rating$LL_ILNA, this placeholder is used only for LROC data
lesions$perCase, int [1:34], number of lesions per diseased case
lesions$IDs, num [1:34, 1:3] , numeric labels of lesions on diseased cases
lesions$weights, num [1:34, 1:3], weights (or clinical importances) of lesions
descriptions$fileName, chr, "datasetCrossedModality", base name of dataset in 'data' folder
descriptions$type, chr "FROC", the data type
descriptions$name, chr "THOMPSON-X-MOD", the name of the dataset
descriptions$truthTableStr, NA, truth table structure
descriptions$design, chr "FCTRL-X-MOD", study design, factorial dataset
descriptions$modalityID, chr [1:2] "F" "I", treatment label(s)
descriptions$readerID, chr [1:4] "20" "40" "60" "80", reader labels
Thompson JD, Chakraborty DP, et al. (2016) Effect of reconstruction methods and x-ray tube current-time product on nodule detection in an anthropomorphic thorax phantom: a crossed-treatment JAFROC observer study. Medical Physics. 43(3):1265-1274.
str(datasetCrossedModality)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.