Corrigendum: Non-invasive detection of anemia using lip mucosa images transfer learning convolutional neural networks
Shekhar Mahmud1 
Mohammed Mansour
Mustafa Kutlu
Chris Freeman- 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
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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, SwitzerlandCopyright © 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