Pseudo-PHI-DICOM-Data

The process of image de-identification is time consuming, requires significant human resources, and is prone to human error. Automated image de-identification algorithms have been developed but the research community requires some method of evaluation before such tools can be widely accepted. This evaluation requires a robust dataset that can be used as part of an evaluation process for de-identification algorithms. We developed a DICOM dataset that can be used to evaluate the performance of de-identification algorithms. Please see the Medical Imaging De-Identification Initiative (MIDI) wiki page to learn more about the images and to obtain any supporting metadata for this collection.