A DICOM dataset for evaluation of medical image de-identification

We developed a DICOM dataset that can be used to evaluate the performance of de-identification algorithms. DICOM objects (a total of 1,693 CT, MRI, PET, and digital X-ray images) were selected from datasets published in the Cancer Imaging Archive (TCIA). Synthetic Protected Health Information (PHI)...

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Detalles Bibliográficos
Autores principales: Rutherford, Michael, Mun, Seong K., Levine, Betty, Bennett, William, Smith, Kirk, Farmer, Phil, Jarosz, Quasar, Wagner, Ulrike, Freyman, John, Blake, Geri, Tarbox, Lawrence, Farahani, Keyvan, Prior, Fred
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285420/
https://www.ncbi.nlm.nih.gov/pubmed/34272388
http://dx.doi.org/10.1038/s41597-021-00967-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8285420/
https://www.ncbi.nlm.nih.gov/pubmed/34272388
http://dx.doi.org/10.1038/s41597-021-00967-y

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