Erratum: A novel fully automated MRI-based deep-learning method for classification of 1p/19q co-deletion status in brain gliomas (Neuro-Oncology Advances (2020) 2:Supplement 4 DOI: 10.1093/noajnl/vdaa066)

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Abstract

This is a correction to: Neuro-Oncology Advances, Volume 2, Issue Supplement 4, December 2020, doi: 10.1093/noajnl/ vdaa066. There was an error in the python code for the 3-fold cross validation procedure. This resulted in the use of the training cases instead of the set-aside test cases for the molecular marker accuracy testing procedure. This caused our reported accuracies from the TCIA/TCGA data set to be artificially inflated. The corrected accuracies for Table 1 (computed using nnU-Net1), along with the updated ROC curve for Figure 3 are provided here. The updated accuracies, while encouraging, do not outperform other reported methods for 1p/19q molecular marker prediction using MRI. (Table Presented).

Original languageEnglish (US)
Article numbervdac187
JournalNeuro-Oncology Advances
Volume5
Issue number1
DOIs
StatePublished - Jan 1 2023

ASJC Scopus subject areas

  • Surgery
  • Oncology
  • Clinical Neurology

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