datasetCadLroc.Rd
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_IL
num [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$modalityID
, chr "1", modality label(s)
descriptions$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.
res <- str(datasetCadLroc)
#> List of 3
#> $ ratings :List of 3
#> ..$ NL : num [1, 1:10, 1:200, 1] 28 0 14 0 16 0 31 0 0 0 ...
#> ..$ LL : num [1, 1:10, 1:80, 1] 0 0 0 0 0 0 0 0 67 0 ...
#> ..$ LL_IL: num [1, 1:10, 1:80, 1] 29 12 13 10 41 67 61 51 0 0 ...
#> $ lesions :List of 3
#> ..$ perCase: num [1:80] 1 1 1 1 1 1 1 1 1 1 ...
#> ..$ IDs : num [1:80, 1] 1 1 1 1 1 1 1 1 1 1 ...
#> ..$ weights: num [1:80, 1] 0 0 0 0 0 0 0 0 0 0 ...
#> $ descriptions:List of 7
#> ..$ fileName : chr "datasetCadLroc"
#> ..$ type : chr "LROC"
#> ..$ name : chr "NICO-CAD-LROC"
#> ..$ truthTableStr: num [1, 1:10, 1:200, 1:2] 1 1 1 1 1 1 1 1 1 1 ...
#> ..$ design : chr "FCTRL"
#> ..$ modalityID : chr "1"
#> ..$ readerID : chr [1:10] "1" "2" "3" "4" ...