CORRECTION article

Front. Oncol., 23 August 2024

Sec. Cancer Imaging and Image-directed Interventions

Volume 14 - 2024 | https://doi.org/10.3389/fonc.2024.1478598

Corrigendum: PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images

  • 1. The Affiliated Qingyuan Hospital (Qingyuan Peoples’s Hospital), Guangzhou Medical University, Qingyuan, China

  • 2. School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China

  • 3. Department of Pathology, Guangzhou KingMed Center for Clinical Laboratory, Guangzhou, China

  • 4. School of Health Management, Guangzhou Medical University, Guangzhou, China

  • 5. Division of Gastroenterology, Institute of Digestive Disease, the Affiliated Qingyuan Hospital (Qingyuan Peoples’s Hospital), Guangzhou Medical University, Qingyuan, China

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

In the published article, there was an error in affiliation 5. Instead of “Institute of Digestive Disease, the Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People’s Hospital, Qingyuan, China”, it should be “Division of Gastroenterology, Institute of Digestive Disease, the Affiliated Qingyuan Hospital (Qingyuan Peoples’s Hospital), Guangzhou Medical University, Qingyuan, China”.

In the published article, there was an error regarding the affiliations for Cong Li. As well as having affiliation 1, they should also have 2.

In the published article, there was an error regarding the affiliations for Ling Qi. As well as having affiliation 5, they should also have 1.

In the published article, there was an error regarding the affiliations for Guiying Zhang. As well as having affiliation 1, they should also have 2.

The authors apologize for these errors and state that this does not change the scientific conclusions of the article in any way. The original 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

pathological images, blood vessel, deep learning, object detection, attention mechanism

Citation

Li C, Che S, Gong H, Ding Y, Luo Y, Xi J, Qi L and Zhang G (2024) Corrigendum: PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images. Front. Oncol. 14:1478598. doi: 10.3389/fonc.2024.1478598

Received

10 August 2024

Accepted

14 August 2024

Published

23 August 2024

Approved by

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Volume

14 - 2024

Updates

Copyright

*Correspondence: Ling Qi, ; Guiying Zhang,

†These authors have contributed equally to this work

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.

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