AB038. Establishing a reliable semi-automated segmentation method for assessing chemoradiotherapy effects on the non-tumoral brain
Acknowledgments
Funding: None.
Footnote
Conflicts of Interest: Both authors have completed the ICMJE uniform disclosure form (available at: https://cco.amegroups.com/article/view/10.21037/cco-24-ab038/coif). E.J.L. reported that he is a recipient of a grant under Duke-NUS Medical School (grant name: AM-ETHOS Duke-NUS Medical Student Fellowship Grant) to support costs of journal publications and conferences. The other author has no conflicts of interest to declare.
Ethical Statement: The authors are accountable for all aspects of the work in ensuring that questions related to the accuracy or integrity of any part of the work are appropriately investigated and resolved. The study was conducted using data obtained from the Burdenko’s Glioblastoma Progression Dataset (https://doi.org/10.7937/E1QP-D183). Written informed consent was obtained from all subjects, and participating sites (Burdenko National Medical Research Center of Neurosurgery) involved in the study received approval from their respective governing Institutional Review Boards.
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