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CORRECTION article

Front. Oncol., 11 June 2025

Sec. Cancer Imaging and Image-directed Interventions

Volume 15 - 2025 | https://doi.org/10.3389/fonc.2025.1632503

This article is part of the Research TopicRecent Trends and Advancements in Multispectral and Hyperspectral Imaging for Cancer DetectionView all 7 articles

Correction: MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures

This article is a correction to:

  1. MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures

    1. Read original article
Wenhua LiangWenhua LiangHong YuHong YuLisha DuanLisha DuanXiaona LiXiaona LiMing WangMing WangBing WangBing WangJianling Cui*Jianling Cui*
  • Department of Radiology, Third Hospital of Hebei Medical University, Shijiazhuang, China

A Correction on
MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures

by Liang W, Yu H, Duan L, Li X, Wang M, Wang B and Cui J (2025). Front. Oncol. 15:1603672. doi: 10.3389/fonc.2025.1603672

In the published article, there was an error in affiliation. Instead of “Department of Radiology, Third Hospital of Hebei Medical University, Shijiangzhuang, China”, it should be “Department of Radiology, Third Hospital of Hebei Medical University, Shijiazhuang, China”.

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.

Keywords: radiomics, 2.5D deep learning, feature fusion, vertebral compression fractures, nomogram, magnetic resonance imaging

Citation: Liang W, Yu H, Duan L, Li X, Wang M, Wang B and Cui J (2025) Correction: MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures. Front. Oncol. 15:1632503. doi: 10.3389/fonc.2025.1632503

Received: 21 May 2025; Accepted: 29 May 2025;
Published: 11 June 2025.

Approved by:

Frontiers Editorial Office, Frontiers Media SA, Switzerland

Copyright © 2025 Liang, Yu, Duan, Li, Wang, Wang and Cui. 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: Jianling Cui, MzYyMDA2NzVAaGVibXUuZWR1LmNu

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.