De-Identification of Radiomics Data Retaining Longitudinal Temporal Information-Reference-Cited by-同舟云学术

De-Identification of Radiomics Data Retaining Longitudinal Temporal Information

Published:2020-04-02 Issue:5 Volume:44 Page:
ISSN:0148-5598
Container-title:Journal of Medical Systems
language:en
Short-container-title:J Med Syst

Author:

Kundu Surajit,Chakraborty Santam,Chatterjee Sanjoy,Das Syamantak,Achari Rimpa Basu,Mukhopadhyay Jayanta,Das Partha Pratim,Mallick Indranil,Arunsingh Moses,Bhattacharyyaa Tapesh,Ray Soumendranath

Funder

Ministry of Human Resource Development

Publisher

Springer Science and Business Media LLC

Subject

Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)

Link

http://link.springer.com/content/pdf/10.1007/s10916-020-01563-0.pdf

Reference22 articles.

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3. Robinson J.D.: Beyond the DICOM header: additional issues in deidentification. Am. J. Roentgenol. 203 (6): W658–W664, 2014

4. Kohli M.D., Summers R.M., Geis J.R.: Medical image data and datasets in the era of machine learning-whitepaper from the 2016 C-MIMI meeting dataset session. J. Digit. Imaging 30 (4): 392–399, 2017

5. Landau Y., Kiryati N. (2019) Dataset growth in medical image analysis research. arXiv:1908.07765

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