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CORRECTION article

Front. Immunol., 05 February 2026

Sec. Cancer Immunity and Immunotherapy

Volume 17 - 2026 | https://doi.org/10.3389/fimmu.2026.1798272

Correction: Editorial: Recent trends and advancements in multispectral and hyperspectral imaging for cancer detection

This article is a correction to:

  1. Editorial: Recent trends and advancements in multispectral and hyperspectral imaging for cancer detection

    1. Read original article
I-Chen Wu,I-Chen Wu1,2Hsiang-Chen WangHsiang-Chen Wang3Arvind Mukundan,*Arvind Mukundan3,4*
  • 1Division of Gastroenterology, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 2Biomedical Artificial Intelligence Academy, Kaohsiung Medical University, Kaohsiung, Taiwan
  • 3Department of Mechanical Engineering, National Chung Cheng University, Chia Yi, Taiwan
  • 4School of Engineering and Technology, Sanjivani University, Sanjivani Factory, Kopargaon, Maharashtra, India

A Correction on
Editorial: Recent trends and advancements in multispectral and hyperspectral imaging for cancer detection

By Wu I-C, Wang H-C and Mukundan A (2025) Front. Immunol. 16:1752197. doi: 10.3389/fimmu.2025.1752197

Affiliation “Biomedical Artificial Intelligence Academy, Kaohsiung Medical University, Kaohsiung, Taiwan” was omitted for author I-Chen Wu. This affiliation has now been added for author I-Chen Wu.

As a result, the affiliation numbering and author affiliation assignments have been updated accordingly (I-Chen Wu: 1,2; Hsiang-Chen Wang: 3; Arvind Mukundan: 3,4*).

The funders National Science and Technology Council, the Republic of China (NSTC 113-2221-E-194-011-MY3) and Kaohsiung Medical University (KMU-TC114A07-1) were erroneously omitted.

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: hyperspectral imaging, multispectral imaging, deep learning, cancer detection, radiomics, oncology

Citation: Wu I-C, Wang H-C and Mukundan A (2026) Correction: Editorial: Recent trends and advancements in multispectral and hyperspectral imaging for cancer detection. Front. Immunol. 17:1798272. doi: 10.3389/fimmu.2026.1798272

Received: 28 January 2026; Accepted: 29 January 2026;
Published: 05 February 2026.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2026 Wu, Wang and Mukundan. 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: Arvind Mukundan, YXJ2aW5kbXVrdW5kOTZAZ21haWwuY29t

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.