Journal
Scientific Reports
Publication Date
2020
Volume
10
Issue
1
First Page
16885
Document Type
Open Access Publication
DOI
10.1038/s41598-020-73278-8
Rights and Permissions
Prince, E. W., Whelan, R., Mirsky, D. M., Stence, N., Staulcup, S., Klimo, P., . . . Hankinson, T. C. (2020). Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images. Scientific Reports, 10(1) doi:10.1038/s41598-020-73278-8 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Recommended Citation
Prince, Eric W.; Limbrick, David D. Jr.; and al., et, "Robust deep learning classification of adamantinomatous craniopharyngioma from limited preoperative radiographic images." Scientific Reports. 10, 1. 16885 (2020).
https://digitalcommons.wustl.edu/open_access_pubs/9671
