Front. Oncol. Frontiers in Oncology Front. Oncol. 2234-943X Frontiers Media S.A. 10.3389/fonc.2026.1798432 Correction Correction: A complete benchmark for polyp detection, segmentation and classification in colonoscopy images TudelaYael 1 Methodology Software Validation Writing – original draft Writing – review & editing MajóMireia 1 Writing – original draft Writing – review & editing Validation de la FuenteNeil 1 Writing – original draft Writing – review & editing Validation GaldranAdrian 2 Writing – review & editing Writing – original draft KrenzerAdrian 3 Writing – review & editing Writing – original draft PuppeFrank 3 Writing – review & editing YamlahiAmine 4 Writing – review & editing Writing – original draft TranThuy Nuong 4 Writing – review & editing Writing – original draft MatuszewskiBogdan J. 5 Writing – original draft Writing – review & editing FitzgeraldKerr 5 Writing – review & editing Writing – original draft BianCheng 6 Writing – review & editing Writing – original draft PanJunwen 7 Writing – review & editing Writing – original draft LiuShijle 6 Writing – review & editing Writing – original draft Fernández-EsparrachGloria 8 Writing – original draft Writing – review & editing HistaceAymeric 9 Writing – original draft Writing – review & editing BernalJorge 1 * Conceptualization Data curation Funding acquisition Methodology Project administration Resources Supervision Writing – original draft Writing – review & editing Computer Vision Center and Computer Science Department, Universitat Autònoma de Cerdanyola del Valles, Barcelona, Spain Department of Information and Communication Technologies, SymBioSys Research Group, BCNMedTech, Barcelona, Spain Artificial Intelligence and Knowledge Systems, Institute for Computer Science, Julius-Maximilians University of Würzburg, Würzburg, Germany Division of Intelligent Medical Systems, German Cancer Research Center (DKFZ), Heidelberg, Germany Computer Vision and Machine Learning (CVML) Research Group, University of Central Lancashir (UCLan), Preston, United Kingdom Hebei University of Technology, Baoding, China Tianjin University, Tianjin, China Digestive Endoscopy Unit, Hospital Clínic, Barcelona, Spain ETIS UMR 8051, École Nationale Supérieure de l’Électronique et de ses Applications (ENSEA), Centre national de la recherche scientifique (CNRS), CY Paris Cergy University, Cergy, France Correspondence: Jorge Bernal, Jorge.Bernal@uab.cat 20 02 2026 2026 16 1798432 28 01 2026 05 02 2026 04 02 2026 Copyright © 2026 Tudela, Majó, de la Fuente, Galdran, Krenzer, Puppe, Yamlahi, Tran, Matuszewski, Fitzgerald, Bian, Pan, Liu, Fernández-Esparrach, Histace and Bernal. 2026 Tudela, Majó, de la Fuente, Galdran, Krenzer, Puppe, Yamlahi, Tran, Matuszewski, Fitzgerald, Bian, Pan, Liu, Fernández-Esparrach, Histace and Bernal https://creativecommons.org/licenses/by/4.0/ 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. A Correction on A complete benchmark for polyp detection, segmentation and classification in colonoscopy images By Tudela Y, Majó M, de la Fuente N, Galdran A, Krenzer A, Puppe F, Yamlahi A, Tran TN, Matuszewski BJ, Fitzgerald K, Bian C, Pan J, Liu S, Fernández-Esparrach G, Histace A and Bernal J (2024) Front. Oncol. 14:1417862. doi: 10.3389/fonc.2024.1417862 computer-aided diagnosis medical imaging polyp classification polyp detection polyp segmentation section-at-acceptance Cancer Imaging and Image-directed Interventions

An incorrect number was provided. The correct Funding number is PID2020–120611RB-I00. The current Funding statement reads: "The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by the following Grant Numbers: PID2020-120611RB-I00 and RED2022-134964-T and funded by MCIN-AEI/10.13039/501100011033. AG was funded by a Marie Sk lodowska-Curie Global Fellowship (No 892297). AH and JB thanks the Institute of Advanced Studies from CY Paris Cergy University, Invited Prof. Position grant, through which the position was obtained in the context of “SmartVideocolonoscopy” project. AK and FP kindly thank the University Hospital of Würzburg and the Interdisziplinäres Zentrum für Klinische Forschung (IZKF) for supporting the research. AY and TT are supported by a Twinning Grant of the German Cancer Research Center (DKFZ) and the Robert Bosch Center for Tumor Diseases (RBCT). BM was supported by the Science and Technology Facilities Council grant number ST/S005404/1 and Kerr Fitzgerald by UCLan PhD grant."

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.

Approved by: Frontiers Editorial Office, Frontiers Media SA, Switzerland