Journal
Neuro-Oncology Advances
Publication Date
1-1-2023
Volume
5
Issue
1
First Page
vdad023
Document Type
Open Access Publication
DOI
10.1093/noajnl/vdad023
Rights and Permissions
Satrajit Chakrabarty and others, MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network, Neuro-Oncology Advances, Volume 5, Issue 1, January-December 2023, vdad023, https://doi.org/10.1093/noajnl/vdad023. https://academic.oup.com/noa/article/5/1/vdad023/7069855?login=true. © The Author(s) 2023. Published by Oxford University Press, the Society for Neuro-Oncology and the European Association of Neuro-Oncology. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Recommended Citation
Chakrabarty, Satrajit; LaMontagne, Pamela; Shimony, Joshua; Marcus, Daniel S; and Sotiras, Aristeidis, "MRI-based classification of IDH mutation and 1p/19q codeletion status of gliomas using a 2.5D hybrid multi-task convolutional neural network." Neuro-Oncology Advances. 5, 1. vdad023 (2023).
https://digitalcommons.wustl.edu/oa_4/1701
Department
ICTS (Institute of Clinical and Translational Sciences)
Additional Links
Supplemental material is available for this article at publisher site.
