Nico Karssemeijer LROC dataset (CAD vs. radiologists)

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

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 Array[1, 1:10, 1:200, 1] ratings of localizations on normal cases

  • rating$LL num Array[1, 1:10, 1:80, 1] ratings of correct localizations on abnormal cases

  • rating$LL_IL num Array[1, 1:10, 1:80, 1], ratings of incorrect localizations on abnormal cases

  • lesions$perCase int Array[1:80], number of lesions per diseased case

  • lesions$IDs num Array[1:80, 1] , numeric labels of lesions on diseased cases

  • lesions$weights num Array[1:80, 1], weights (or clinical importance) 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 Array[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

  • descriptions$readerID chr Array[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

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" ...