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Quality of Radiomic Features in Glioblastoma Multiforme: Impact of Semi-Automated Tumor Segmentation Software

Crossref DOI link: https://doi.org/10.3348/kjr.2017.18.3.498

Published Print: 2017

Update policy: https://doi.org/10.3348/crossmark_policy

Authors

Lee, Myungeun

Woo, Boyeong

Kuo, Michael D.

Jamshidi, Neema

Kim, Jong Hyo
Funding

Funding for this research was provided by:

National Research Foundation of Korea (NRF-2016R1A2B4010401)

Korea Health Industry Development Institute (HI16C1127)

Korea Health Industry Development Institute (HI14C1234)
License Information

Text and Data Mining valid from 2017-01-01
More Information

Full text available at:

Synapse: https://synapse.koreamed.org/DOIx.php?id=10.3348/kjr.2017.18.3.498

the Journal: https://www.kjronline.org/DOIx.php?id=10.3348/kjr.2017.18.3.498

Publication History

Received: 2016-07-28

Accepted: 2016-12-27

Published online: 2017-04-03

Copyright and Licensing

Copyright: Copyright © 2017 The Korean Society of Radiology

License: This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.