Evaluating the use of rCBV as a tumor grade and treatment response classifier across NCI Quantitative Imaging Network sites: Part II of the DSC-MRI digital reference object (DRO) challenge

Authors

Laura C. Bell, Barrow Neurological Institute
Hongyu An, Washington University School of Medicine in St. Louis
Cihat Eldeniz, Washington University School of Medicine in St. Louis
Richard Wahl, Washington University School of Medicine in St. Louis
et al

Journal

Tomography

Publication Date

6-1-2020

Volume

6

Issue

2

First Page

203

Last Page

208

Document Type

Open Access Publication

DOI

10.18383/j.tom.2020.00012

Rights and Permissions

Bell LC, Semmineh N, An H, et al. Evaluating the Use of rCBV as a Tumor Grade and Treatment Response Classifier Across NCI Quantitative Imaging Network Sites: Part II of the DSC-MRI Digital Reference Object (DRO) Challenge. Tomography. 2020;6(2):203-208. doi:10.18383/j.tom.2020.00012. © 2020 The Authors. Published by Grapho Publications, LLC This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). ISSN 2379-1381 https://doi.org/10.18383/j.tom.2020.00012.

Recommended Citation

Bell, Laura C.; An, Hongyu; Eldeniz, Cihat; Wahl, Richard; and et al, "Evaluating the use of rCBV as a tumor grade and treatment response classifier across NCI Quantitative Imaging Network sites: Part II of the DSC-MRI digital reference object (DRO) challenge." Tomography. 6, 2. 203 - 208. (2020).
https://digitalcommons.wustl.edu/open_access_pubs/9352