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Controlled searching in reversibly de-identified medical ...
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由 JM Silva 著作2018被引用 31 次 — In this context, it is necessary to maintain patient data privacy and provide an easy and secure mechanism for authorized personnel access. This paper presents ...
Controlled searching in reversibly de-identified medical ...
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由 JM Silva 著作2018被引用 31 次 — This paper presents a solution that fully de-identifies standard medical imaging objects, including metadata and pixel data, providing at the same time a ...
Controlled Searching in Reversibly De-Identified Medical ...
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In this use case, standard medical imaging objects are fully de-identified, including meta-data and pixel data. ...
Controlled searching in reversibly de-identified medical imaging ...
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Controlled searching in reversibly de-identified medical imaging archives. Overview of attention for article published in Journal of Biomedical Informatics ...
Eduardo Pinho
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Controlled searching in reversibly de-identified medical imaging archives. JM Silva, E Pinho, E Monteiro, JF Silva, C Costa. Journal of biomedical informatics ...
Identification and classification of DICOM files with burned- ...
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由 P Vcelak 著作2019被引用 18 次 — Silva et al. [8] is the most recent publication (2018), where they focus on the controlled searching in archives where reversibly de-identified medical images ...
Eriksson Monteiro - Google 學術搜尋
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Journal of medical systems 41 (5), 89, 2017. 39, 2017. Controlled searching in reversibly de-identified medical imaging archives. JM Silva, E Pinho, E Monteiro ...
ACR–AAPM–SIIM PRACTICE PARAMETER FOR ...
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Controlled searching in reversibly de-identified medical imaging archives. Journal of biomedical informatics. 2018;77:81-90. 12. National Institute of ...
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Process and data flow for reversible anonymization
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This paper presents a solution that fully de-identifies standard medical imaging objects, including metadata and pixel data, providing at the same time a ...
Report of the Medical Image De-Identification (MIDI) Task ...
National Institutes of Health (NIH) (.gov)
https://pmc.ncbi.nlm.nih.gov › articles › PMC10081345
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由 DA Clunie 著作被引用 9 次 — This report addresses the technical aspects of de-identification of medical images of human subjects and biospecimens.