CORRECTION article

Front. Neurol., 21 May 2021

Sec. Stroke

Volume 12 - 2021 | https://doi.org/10.3389/fneur.2021.687610

Corrigendum: Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features

  • 1. Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

  • 2. Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany

In the original article, there was an error. The article erroneously states that “The data that support the findings of this study are available from the corresponding author upon reasonable request.” Unfortunately, we are unable to provide the full raw data scan set due to the recent implementation of stricter data security regulations by our institution.

A correction has been made to Methods, Paragraph 1. The corrected paragraph is shown below.

This single-center retrospective study was approved by the ethics committee (Ethik-Kommission der Ärztekammer Hamburg, WF-054/19), and written informed consent was waived according to paragraph 9 section 2 of the Hamburg federal state legislation and paragraph 15 section 1 of the medical association's professional code of conduct in Hamburg. All study protocols and procedures were conducted in accordance with the Declaration of Helsinki. The data that support the findings of this study are available, upon reasonable request from the corresponding author, if in accordance with the institution's data security regulations.

The Data Availability Statement has also been updated, as shown below.

Statements

Data availability statement

The data that support the findings of this study are available, upon reasonable request from the corresponding author, if in accordance with the institution's data security regulations.

The authors apologize for this error and state that this does not change the scientific conclusions of the article in any way. The original article has been updated.

Summary

Keywords

intracerebral hemorrhage, neoplastic hemorrhage, radiomics, machine learning, artificial intelligence

Citation

Nawabi J, Kniep H, Kabiri R, Broocks G, Faizy TD, Thaler C, Schön G, Fiehler J and Hanning U (2021) Corrigendum: Neoplastic and Non-neoplastic Acute Intracerebral Hemorrhage in CT Brain Scans: Machine Learning-Based Prediction Using Radiomic Image Features. Front. Neurol. 12:687610. doi: 10.3389/fneur.2021.687610

Received

29 March 2021

Accepted

13 April 2021

Published

21 May 2021

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

12 - 2021

Updates

Copyright

*Correspondence: Jawed Nawabi

This article was submitted to Stroke, a section of the journal Frontiers in Neurology

†These authors have contributed equally to this work

‡ORCID: Jawed Nawabi orcid.org/0000-0002-1137-0643

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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