Crossmark

Development of an algorithm to automatically compress a CT image to visually lossless threshold

Crossref DOI link: https://doi.org/10.1186/s12880-017-0244-2

Published Online: 2018-12-17

Published Print: 2018-12

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Nam, Chang-Mo

Lee, Kyong Joon

Ko, Yousun

Kim, Kil Joong

Kim, Bohyoung

Lee, Kyoung Ho
Funding

Funding for this research was provided by:

Korea Health Industry Development Institute

Ministry of Health and Welfare

Seoul National University Bundang Hospital
License Information

Text and Data Mining valid from 2018-12-01
More Information

Article History

Received: 18 August 2017

Accepted: 28 December 2017

First Online: 17 December 2018

Ethics approval and consent to participate

: The institutional review board of the Seoul National Bundang Hospital approved current study and waived informed patient consent.

: Not applicable.

: Kyoung Ho Lee received grants from the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea, and Seoul National University Bundang Hospital. Kyong Joon Lee received grants from Seoul National University. All other authors declare no competing interests.

: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.