| dataset05 | R Documentation |
This is referred to in the book as the "JT" dataset. It consists of 92 cases, 47 of which are diseased, interpreted in two treatments ("1" = CT images acquired for attenuation correction, "2" = diagnostic CT images), by nine radiographers using the FROC paradigm. Each case was a slice of an anthropomorphic phantom 47 with inserted nodular lesions (max 3 per slice). The maximum number of NLs per case, over the entire dataset was 7.
dataset05
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, 1:9, 1:92, 1:7], ratings of non-lesion localizations, NLs
rating$LL, num [1:2, 1:9, 1:47, 1:3], ratings of lesion localizations, LLs
rating$LL_ILNA, this placeholder is used only for LROC data
lesions$perCase, int [1:47], number of lesions per diseased case
lesions$IDs, num [1:47, 1:3], numeric labels of lesions on diseased cases
lesions$weights, num [1:47, 1:3], weights (or clinical importances) of lesions
descriptions$fileName, chr, "dataset05", base name of dataset in 'data' folder
descriptions$type, chr "FROC", the data type
descriptions$name, chr "THOMPSON", the name of the dataset
descriptions$truthTableStr, num [1:2, 1:9, 1:92, 1:4], truth table structure
descriptions$design, chr "FCTRL", study design, factorial dataset
descriptions$modalityID, chr [1:2] "1" "2", treatment labels
descriptions$readerID, chr [1:4] "1" "2" "3" "4", reader labels
Thompson JD Hogg P, et al. (2014) A Free-Response Evaluation Determining Value in the Computed Tomography Attenuation Correction Image for Revealing Pulmonary Incidental Findings: A Phantom Study. Academic Radiology, 21 (4): 538-545.
str(dataset05) PlotEmpiricalOperatingCharacteristics(dataset = dataset05, opChType = "wAFROC")$Plot
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.