A DICOM dataset for evaluation of medical image de-identification

A DICOM dataset for evaluation of medical image de-identification

Measurement(s) Deidentification • Clinical Data Technology Type(s) data synthesis • digital curation Factor Type(s) imaging type Sample Characteristic - Organism Homo sapiens Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.14802774

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Bibliographic Details
Main Authors: Michael Rutherford, Seong K. Mun, Betty Levine, William Bennett, Kirk Smith, Phil Farmer, Quasar Jarosz, Ulrike Wagner, John Freyman, Geri Blake, Lawrence Tarbox, Keyvan Farahani, Fred Prior
Format: article
Language:EN
Published: Nature Portfolio 2021
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Science
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Online Access:https://doaj.org/article/6ea118cf2c1c41c4bfc6179019902e85
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https://doaj.org/article/6ea118cf2c1c41c4bfc6179019902e85

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