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Letter to the editor of the Journal of Medical Systems: Regarding "De-Identification of Radiomics Data Retaining Longitudinal Temporal Information"

  • Transactional Processing Systems
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References

  1. Kundu, S., Chakraborty, S., Chatterjee, S., Das, S., Achari, R. B., Mukhopadhyay, J., et al., De-Identification of Radiomics Data Retaining Longitudinal Temporal Information. J. Med. Syst. 44(5):99, 2020. https://doi.org/10.1007/s10916-020-01563-0

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  4. National Electrical Manufacturers Association (NEMA). Digital Imaging and Communications in Medicine (DICOM) Standard PS3.15 - Security and System Management Profiles - Section E.1.1 De-identifier. Rosslyn, VA. Available from: http://dicom.nema.org/medical/dicom/current/output/chtml/part15/chapter_E.html#sect_E.1.1

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  6. Clunie D. Letter - Free DICOM de-identification tools in clinical research: functioning and safety of patient privacy. Eur. Radiol. 2016. Available from: http://www.european-radiology.org/opinions/clunie-2016/

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Funding

Author has previously received funding from GE Healthcare to internationalize and configure open source DicomCleaner and make software changes unrelated to this letter. Author receives funding from NEMA to edit the DICOM Standard, including those sections related to de-identification referenced in this letter.

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  1. PixelMed, Bangor, PA, USA

    David A. Clunie

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  1. David A. Clunie
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Correspondence to David A. Clunie.

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Author is a member of the DICOM Standards Committee.

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This article does not contain any studies with human participants or animals performed by the author.

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Clunie, D.A. Letter to the editor of the Journal of Medical Systems: Regarding "De-Identification of Radiomics Data Retaining Longitudinal Temporal Information". J Med Syst 44, 121 (2020). https://doi.org/10.1007/s10916-020-01592-9

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  • DOI: https://doi.org/10.1007/s10916-020-01592-9

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