Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: From static images to CEUS video analysis
- 1Department of Ultrasound, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China
- 2Ultrasound in Medicine, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, China
- 3Technology Department, XENIRO, Shanghai, China
A Corrigendum on
Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: from static images to CEUS video analysis
By Zhu J-Y, He H-L, Lin Z-M, Zhao J-Q, Jiang X-C, Liang Z-H, Huang X-P, Bao H-W, Huang P-T and Chen F (2022). Front. Oncol. 12:951973. doi: 10.3389/fonc.2022.951973
In the published article, there was an error in the author list, and author Han-Lu He was erroneously excluded as first author. Furthermore, authors Jun-Yan Zhu and Han-Lu He were erroneously included as correspondence. The corrected author list appears below.
Jun-Yan Zhu1†, Han-Lu He1†, Zi-Mei Lin2, Jian-Qiang Zhao3, Xiao-Chun Jiang1, Zhe-Hao Liang1, Xiao-Ping Huang1, Hai-Wei Bao1, Pin-Tong Huang2, Fen Chen1*
† Co-first author: Jun-Yan Zhu, Han-Lu He
* Correspondence: Fen Chen
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.
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Keywords: breast cancer, contrast enhanced ultrasonography (CEUS), machine learning, convolutional neural network (CNN), radiomics
Citation: Zhu J-Y, He H-L, Lin Z-M, Zhao J-Q, Jiang X-C, Liang Z-H, Huang X-P, Bao H-W, Huang P-T and Chen F (2024) Corrigendum: Ultrasound-based radiomics analysis for differentiating benign and malignant breast lesions: from static images to CEUS video analysis. Front. Oncol. 14:1436117. doi: 10.3389/fonc.2024.1436117
Received: 21 May 2024; Accepted: 28 May 2024;
Published: 06 June 2024.
Approved by:
Frontiers Editorial Office, Frontiers Media SA, SwitzerlandCopyright © 2024 Zhu, He, Lin, Zhao, Jiang, Liang, Huang, Bao, Huang and Chen. 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: Fen Chen, chenfen0571@qq.com
†These authors share first authorship