dataset08 {RJafroc}

Monica Penedo ROC dataset

Description

This is referred to in the book as the "PEN" dataset. It consists of 112 cases, 64 of which are diseased, interpreted in five treatments (basically different image compression algorithms) by five radiologists using the FROC paradigm (the inferred ROC dataset is included; the original FROC data is lost).

Usage

dataset08

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 [1:5, 1:5, 1:112, 1], ratings of non-lesion localizations, NLs

• rating$LL, num [1:5, 1:5, 1:64, 1], ratings of lesion localizations, LLs

• rating$LL_ILNA, this placeholder is used only for LROC data

• lesions$perCase, int [1:64], number of lesions per diseased case

• lesions$IDs, num [1:64, 1], numeric labels of lesions on diseased cases

• lesions$weights, num [1:64, 1], weights (or clinical importances) of lesions

• descriptions$fileName, chr, "dataset08", base name of dataset in 'data' folder

• descriptions$type, chr "ROC", the data type

• descriptions$name, chr "PENEDO", the name of the dataset

• descriptions$truthTableStr, num [1:5, 1:5, 1:112, 1:2], truth table structure

• descriptions$design, chr "FCTRL", study design, factorial dataset

• descriptions$modalityID, chr [1:5] "0" "1" "2" "3" ..., treatment labels

• descriptions$readerID, chr [1:5] "0" "1" "2" "3" ..., reader labels

References

Penedo et al. Free-Response Receiver Operating Characteristic Evaluation of Lossy JPEG2000 and Object-based Set Partitioning in Hierarchical Trees Compression of Digitized Mammograms. Radiology. 2005;237(2):450-457.

Examples

str(dataset08)
PlotEmpiricalOperatingCharacteristics(dataset = dataset08, opChType = "ROC")$Plot