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International Journal of Biomedical Imaging
Volume 2018, Article ID 2572431, 11 pages
https://doi.org/10.1155/2018/2572431
Research Article

Medical Image Blind Integrity Verification with Krawtchouk Moments

1Laboratory of Image Science and Technology, Southeast University, Nanjing 210096, China
2College of Data Science, Taiyuan University of Technology, Taiyuan 030024, China
3Centre de Recherche en Information Biomédicale Sino-Français, Nanjing 210096, China
4International Joint Research Laboratory of Information Display and Visualization, Southeast University, Ministry of Education, Nanjing 210096, China

Correspondence should be addressed to Huazhong Shu; nc.ude.ues@tsil.uhs

Received 15 August 2017; Revised 19 November 2017; Accepted 31 May 2018; Published 2 July 2018

Academic Editor: Lizhi Sun

Copyright © 2018 Xu Zhang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [1 citation]

The following is the list of published articles that have cited the current article.

  • T.M. Navamani, Akhil Bharadwaj, Rohit Agrawal, and Umang Agarwal, “Secure Transmission of DICOM Images by comparing different cryptographic algorithms,” Materials Today: Proceedings, vol. 15, pp. A1–A11, 2019. View at Publisher · View at Google Scholar