dataset01: TONY FROC dataset

In dpc10ster/rjafroc: Artificial Intelligence Systems and Observer Performance

TONY FROC dataset

Description

This is referred to in the book as the "TONY" dataset. It consists of 185 cases, 89 of which are diseased, interpreted in two treatments ("BT" = breast tomosynthesis and "DM" = digital mammography) by five radiologists using the FROC paradigm.

Usage

dataset01

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 [1:2, 1:5, 1:185, 1:3], ratings of non-lesion localizations, NLs

• rating$LL, num [1:2, 1:5, 1:89, 1:2], ratings of lesion localizations, LLs

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

• lesions$perCase, int [1:89], number of lesions per diseased case

• lesions$IDs, num [1:89, 1:2], numeric labels of lesions on diseased cases

• lesions$weights, num [1:89, 1:2], weights (or clinical importances) of lesions

• descriptions$fileName, chr, "dataset01", base name of dataset in 'data' folder

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

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

• descriptions$truthTableStr, num [1:2, 1:5, 1:185, 1:3] 1 1 1 1 ..., truth table structure

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

• descriptions$modalityID, chr [1:2] "BT" "DM", modality labels

• descriptions$readerID, chr [1:5] "1" "2" "3" "4" ..., reader labels

References

Chakraborty DP, Svahn T (2011) Estimating the parameters of a model of visual search from ROC data: an alternate method for fitting proper ROC curves. PROC SPIE 7966.

Examples

res <- str(dataset01)
## PlotEmpiricalOperatingCharacteristics(dataset = dataset01, opChType = "wAFROC")$Plot

dpc10ster/rjafroc documentation built on Jan. 18, 2024, 4:37 a.m.