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CORRECTION article

Front. Big Data, 20 December 2023
Sec. Medicine and Public Health
Volume 6 - 2023 | https://doi.org/10.3389/fdata.2023.1338363

Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

This article is a correction to:

  1. Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

    1. Read original article
\r\nShekhar MahmudShekhar Mahmud1Mohammed Mansour Mohammed Mansour2*Turker Berk DonmezTurker Berk Donmez3Mustafa KutluMustafa Kutlu2Chris FreemanChris Freeman4
  • 1Department of Systems Engineering, Military Technological College, Muscat, Oman
  • 2Mechatronics Engineering Department, Sakarya University of Applied Sciences, Serdivan, Sakarya, Türkiye
  • 3Biomedical Engineering Department, Sakarya University of Applied Sciences, Serdivan, Sakarya, Türkiye
  • 4Electronics and Computer Science, University of Southampton, Southampton, United Kingdom

A corrigendum on
Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks

by Mahmud, S., Mansour, M., Donmez, T. B., Kutlu, M., and Freeman, C. (2023). Front. Big Data 6:1291329. doi: 10.3389/fdata.2023.1291329

In the published article, there was an error in the author list, regarding the order of author [Shekhar Mahmud]. There was also an author missed off the original author list [Chris Freeman].

The new requested author order is:

Shekhar Mahmud, Mohammed Mansour, Turker Berk Donmez, Mustafa Kutlu and Chris Freeman.

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.

Author contributions

SM: Funding acquisition, Methodology, Resources, Writing—original draft. MM: Software, Writing—original draft, Writing—review & editing. TD: Data curation, Supervision, Writing—original draft. MK: Investigation, Methodology, Writing—original draft. CF: Writing—original draft, Methodology, and Supervision.

Publisher's note

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.

Keywords: anemia, image processing, deep learning, classification, convolutional neural network (CNN)

Citation: Mahmud S, Mansour M, Donmez TB, Kutlu M and Freeman C (2023) Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks. Front. Big Data 6:1338363. doi: 10.3389/fdata.2023.1338363

Received: 14 November 2023; Accepted: 27 November 2023;
Published: 20 December 2023.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2023 Mahmud, Mansour, Donmez, Kutlu and Freeman. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Mohammed Mansour, mmansour755@gmail.com

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.