Front. Oncol. Frontiers in Oncology Front. Oncol. 2234-943X Frontiers Media S.A. 10.3389/fonc.2024.1472621 Oncology Correction Corrigendum: PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images Li Cong 1 † Che Shuanlong 2 † Gong Haotian 3 Ding Youde 1 Luo Yizhou 4 Xi Jianing 4 Qi Ling 5 * Zhang Guiying 1 * 1 Affiliated Qingyuan Hospital, The Sixth Clinical Medical School, Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, Guangdong, China 2 Department of Pathology, Guangzhou KingMed Center for Clinical Laboratory, Guangzhou, China 3 School of Health Management, Guangzhou Medical University, Guangzhou, China 4 School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China 5 Institute of Digestive Disease, the Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China

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

*Correspondence: Ling Qi, qiling1718@gzhmu.edu.cn; Guiying Zhang, guiyingzhang@gzhmu.edu.cn

†These authors have contributed equally to this work

 09 08 2024 2024 14 1472621 29 07 2024 31 07 2024 Copyright © 2024 Li, Che, Gong, Ding, Luo, Xi, Qi and Zhang 2024 Li, Che, Gong, Ding, Luo, Xi, Qi and Zhang

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 Corrigendum on PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images By Li C, Che S, Gong H, Ding Y, Luo Y, Xi J, Qi L and Zhang G (2024). Front. Oncol. 14:1347123. doi: 10.3389/fonc.2024.1347123 pathological images blood vessel deep learning object detection attention mechanism Natural Science Foundation of Guangdong Province10.13039/501100003453 section-in-acceptance Cancer Imaging and Image-directed Interventions

In the published article, there was an error in affiliation 1. Instead of “School of Biomedical Engineering, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Guangzhou Medical University, Guangzhou, China”, it should be “Affiliated Qingyuan Hospital, The Sixth Clinical Medical School, Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, Guangdong, China”.

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.

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.