Skip to main content

CORRECTION article

Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 14 - 2024 | doi: 10.3389/fonc.2024.1472621

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

Provisionally accepted
Cong Li Cong Li 1Shuanlong Che Shuanlong Che 2*Haotian Gong Haotian Gong 3*Youde Ding Youde Ding 1Yizhou Luo Yizhou Luo 4*Jianing Xi Jianing Xi 4Ling Qi Ling Qi 1*Guiying Zhang Guiying Zhang 1*
  • 1 The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China
  • 2 Guangzhou KingMed Center for Clinical Laboratory co.,Ltd, Guangzhou, China
  • 3 School of Health Management, Guangzhou Medical University, Guangzhou, Guangdong Province, China
  • 4 School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, China

This article is a correction to:

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

    1. Read original article

The final, formatted version of the article will be published soon.

    Keywords: Pathological images, blood vessel, deep learning, object detection, attention mechanism

    Received: 29 Jul 2024; Accepted: 31 Jul 2024.

    Copyright: © 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) or licensor 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:
    Shuanlong Che, Guangzhou KingMed Center for Clinical Laboratory co.,Ltd, Guangzhou, China
    Haotian Gong, School of Health Management, Guangzhou Medical University, Guangzhou, Guangdong Province, China
    Yizhou Luo, School of Biomedical Engineering, Guangzhou Medical University, Guangzhou, 511436, China
    Ling Qi, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China
    Guiying Zhang, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan, China

    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.