Author Abdulmajeed Alqhatani was erroneously spelled as Abdulmajeed Alqhatni.
In the Funding and Acknowledgements statements, an incorrect number was provided for the Growth Funding Program grant from the Deanship of Graduate Studies and Scientific Research at Najran University. The correct number is (NU/GP/SERC/13/575-5).
The original version of this article has been updated.
Statements
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.
Summary
Keywords
lung cancer staging, EfficientNet, explainable artificial intelligence, Gradient-weighted class activation mapping (Grad-CAM), CT image classification, diagnostic imaging
Citation
Alqhatani A, Babu TKSR, Mahesh TR, Khan SB, Saidani O and Quasim MT (2025) Correction: Automated classification and explainable AI analysis of lung cancer stages using EfficientNet and gradient-weighted class activation mapping. Front. Med. 12:1718206. doi: 10.3389/fmed.2025.1718206
Received
03 October 2025
Accepted
07 October 2025
Published
15 October 2025
Approved by
Frontiers Editorial Office, Frontiers Media SA, Switzerland
Volume
12 - 2025
Updates
Copyright
© 2025 Alqhatani, Babu, Mahesh, Khan, Saidani and Quasim.
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: Surbhi Bhatia Khan s.khan138@salford.ac.ukOumaima Saidani ocsaidani@pnu.edu.sa
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.