dataset04: Federica Zanca FROC dataset

In dpc10ster/rjafroc-master: Artificial Intelligence Systems and Observer Performance

Federica Zanca FROC dataset

Description

This is referred to in the book as the "FED" dataset. It consists of 200 mammograms, 100 of which contained one to 3 simulated microcalcifications, interpreted in five treatments (basically different image processing algorithms) by four radiologists using the FROC paradigm and a 5-point rating scale. The maximum number of NLs per case, over the entire dataset was 7 and the dataset contained at least one diseased mammogram with 3 lesions. The Excel file containing this dataset is /inst/extdata/datasets/FZ_ALL.xlsx. The normal cases are labeled 100:199 while the normal cases are labeled 0:99.

Usage

dataset04

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, 1:4, 1:200, 1:7], ratings of non-lesion localizations, NLs

• rating$LL, num [1:5, 1:4, 1:100, 1:3], ratings of lesion localizations, LLs

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

• lesions$perCase, int [1:100], number of lesions per diseased case

• lesions$IDs, num [1:100, 1:3], numeric labels of lesions on diseased cases

• lesions$weights, num [1:100, 1:3], weights (or clinical importances) of lesions

• descriptions$fileName, chr, "dataset04", base name of dataset in 'data' folder

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

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

• descriptions$truthTableStr, num [1:5, 1:4, 1:200, 1:4], truth table structure

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

• descriptions$modalityID, chr [1:5] "1" "2" "3" "4" "5", modality labels

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

References

Zanca F et al. Evaluation of clinical image processing algorithms used in digital mammography. Medical Physics. 2009;36(3):765-775.

Examples

res <- str(dataset04)
## PlotEmpiricalOperatingCharacteristics(dataset = dataset04, opChType = "wAFROC")$Plot

dpc10ster/rjafroc-master documentation built on Jan. 31, 2024, 1:07 p.m.