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Open Access

Peer-reviewed

Research Article

A phantom study to assess the reproducibility, robustness and accuracy of PET image segmentation methods against statistical fluctuations

Retraction

Following the publication of this article [1], concerns were raised regarding the authorship and ownership of the presented data. The University of Manchester investigated the authorship and data ownership concerns, and informed PLOS ONE that the data presented in this article were acquired at the University of Manchester by former colleagues of the author, and that the author used these data without authorization, presenting work of others as their own and excluding researchers who were involved in the data acquisition as co-authors.

In light of the institution’s findings, and in line with the institution’s recommendation, the COPE Retraction Guidelines [2], and the PLOS Plagiarism policy [3], the PLOS ONE Editors retract this article.

Since the author did not have authorization of the data owner(s) to publish the data and study information reported in this article, the retracted PLOS ONE article was removed from the PLOS ONE website at the time of retraction. The article’s Copyright and Data Availability statements were updated at the time of retraction and removal, and the removed contents are no longer offered under the Creative Commons Attribution License.

The author did not agree with the retraction.

1 Dec 2022: The PLOS ONE Editors (2022) Retraction: A phantom study to assess the reproducibility, robustness and accuracy of PET image segmentation methods against statistical fluctuations. PLOS ONE 17(12): e0277627. https://doi.org/10.1371/journal.pone.0277627 View retraction

Citation: Tamal M (2019) A phantom study to assess the reproducibility, robustness and accuracy of PET image segmentation methods against statistical fluctuations. PLoS ONE 14(7): e0219127. https://doi.org/10.1371/journal.pone.0219127

Editor: Huafeng Liu, Zhejiang University, CHINA

Received: October 31, 2018; Accepted: June 17, 2019; Published: July 8, 2019

Copyright: © 2019 Mahbubunnabi Tamal. This retracted article was originally published as an open access article distributed under the terms of the Creative Commons Attribution License. However, PLOS did not receive documentation confirming that the data owner(s) granted permission or a license for use of the presented data or for publication of this work.

Data Availability: The Data Availability Statement was deleted at the time of the article’s removal. See the accompanying retraction notice for more information.

Funding: This study was funded by the Deanship of Scientific Research (DSR), Imam Abdulrahman Bin Faisal University, Dammam, Saudi Arabia (grant number 2016-212-Eng).

Competing interests: The author declares that he has no conflict of interest.