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. 2021 Feb 2;48(5):1696. doi: 10.1007/s00259-021-05226-1

Correction to: Machine learning based on clinico-biological features integrated 18F-FDG PET/CT radiomics for distinguishing squamous cell carcinoma from adenocarcinoma of lung

Caiyue Ren 1,2, Jianping Zhang 3,4,5,6, Ming Qi 3,4,5,6, Jiangang Zhang 1,2, Yingjian Zhang 2,3,4,5,6, Shaoli Song 1,2,4,5,6, Yun Sun 1,3,7,, Jingyi Cheng 2,3,4,5,6
PMCID: PMC8182867  PMID: 33532911

Correction to: Eur J Nucl Med Mol Imaging

10.1007/s00259-020-05065-6

There was a mistake in one of the article notes found in the original article.

“These authors contributed equally to this work.”

should have read as

“Ren Caiyue and Zhang Jianping contributed equally in this work.”

The original article has been corrected.

Footnotes

This article is part of the Topical Collection on Erratum

The online version of the original article can be found at 10.1007/s00259-020-05065-6

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Contributor Information

Caiyue Ren, Email: caiyue.ren@sphic.org.cn.

Jianping Zhang, Email: zhangjianpin82@126.com.

Ming Qi, Email: qiming531@hotmail.com.

Jiangang Zhang, Email: jiangang.zhang@sphic.org.cn.

Yingjian Zhang, Email: yingjian.zhang@sphic.org.cn.

Shaoli Song, Email: shaoli_song@yeah.net.

Yun Sun, Email: yun.sun@sphic.org.cn.

Jingyi Cheng, Email: jcheng13@fudan.edu.cn.


Articles from European Journal of Nuclear Medicine and Molecular Imaging are provided here courtesy of Springer

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