CORRECTION article
Front. Oncol.
Sec. Cancer Imaging and Image-directed Interventions
Volume 15 - 2025 | doi: 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 6 articles
Correction: MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures
Provisionally accepted
- Department of Radiology, Third Hospital of Hebei Medical University, Shijiazhuang, China
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Correction on: Liang W, Yu H, Duan L, Li X, Wang M, Wang B and Cui J (2025) MRI-based 2.5D deep learning radiomics nomogram for the differentiation of benign versus malignant vertebral compression fractures. 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 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.
Keywords: Radiomics, 2.5D deep learning, Feature fusion, Vertebral compression fractures, nomogram, Magnetic Resonance Imaging
Received: 21 May 2025; Accepted: 29 May 2025.
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) 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: Jianling Cui, Department of Radiology, Third Hospital of Hebei Medical University, Shijiazhuang, China
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