An example FROC dataset provided by Dr. Federica Zanca.

Description

In this example dataset there are 100 non-diseased and 100 lesion containing mammography images. The maximum number of lesions per diseased case is 3. Four radiologists intepreted all images using five image processing algorithms (modalities). They marked and rated suspicious regions on an integer 1 - 5 scale, where larger ratings represented greater confidence in presence of disease. Only modalities 4 and 5 have been retained in this dataset. The *.xlsx file can be downloaded from http://www.devchakraborty.com/FrocData/frocData.xlsx. The dataset file can then be read into a dataset object using ReadDataFile function.

Usage

frocData

Format

A dataset object consisting of a list containing 8 elements, see RJafroc-package.

Source

Zanca, F., Chakraborty, D. P., Van Ongeval, C., Jacobs, J., Claus, F., Marchal, G., & Bosmans, H. (2008). An improved method for simulating microcalcifications in digital mammograms. Medical Physics, 35(9), 4012-8.

Results