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CORRECTION article

Front. Med., 15 October 2025

Sec. Pathology

Volume 12 - 2025 | https://doi.org/10.3389/fmed.2025.1718206

Correction: Automated classification and explainable AI analysis of lung cancer stages using EfficientNet and gradient-weighted class activation mapping

  • 1Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia
  • 2Department of Computer Science and Engineering, SRM Institute of Science and Technology, Ramapuram, Chennai, India
  • 3Department of Computer Science and Engineering, JAIN (Deemed-to-be University), Bengaluru, India
  • 4School of Science, Engineering and Environment, University of Salford, Salford, United Kingdom
  • 5Division of Research and Development, Lovely Professional University, Phagwara, India
  • 6Department of Information Systems, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, Saudi Arabia
  • 7Department of Computer Science and Artificial Intelligence, College of Computing and Information Technology, University of Bisha, Bisha, Saudi Arabia

A Correction on
Automated classification and explainable AI analysis of lung cancer stages using EfficientNet and gradient-weighted class activation mapping

by Alqhatani, A., Babu, T. K. S. R., Mahesh, T. R., Khan, S. B., Saidani, O., and Quasim, T. M. (2025). Front. Med. 12:1625183. doi: 10.3389/fmed.2025.1625183

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.

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: 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

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, cy5raGFuMTM4QHNhbGZvcmQuYWMudWs=; Oumaima Saidani, b2NzYWlkYW5pQHBudS5lZHUuc2E=

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.