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

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

• rating$LL_IL NA This placeholder is used only for LROC data

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

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

• lesions$weights num Array[1:89, 1:2], weights (or clinical importance) 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 Array[1:2, 1:5, 1:185, 1:3] Truth table structure

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

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

• descriptions$readerID chr Array[1:5] 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)
## PlotEmpOpChr(dataset = dataset01, opChType = "wAFROC")$Plot

dpc10ster/RJafroc documentation built on June 13, 2025, 10:07 p.m.