Skip to main content
Advertisement
Browse Subject Areas
?

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Correction: Enhanced and unenhanced: Radiomics models for discriminating between benign and malignant cystic renal masses on CT images: A multi-center study

  • Lesheng Huang,
  • Wenhui Feng,
  • Wenxiang Lin,
  • Jun Chen,
  • Se Peng,
  • Xiaohua Du,
  • Xiaodan Li,
  • Tianzhu Liu,
  • Yongsong Ye

There are errors in the author affiliations. The correct affiliations are as follows:

Lesheng Huang1, Wenhui Feng2, Wenxiang Lin2, Jun Chen1, Se Peng3, Xiaohua Du4, Xiaodan Li 5, Tianzhu Liu1*, Yongsong Ye6

1 Department of Radiology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China, 2 Department of Radiology, Zhuhai People’s Hospital, Zhuhai, China, 3 Department of Laboratory, Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China, 4 Department of Pathology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China, 5 Department of Gynaecology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Zhuhai, China, 6 Department of Radiology, Guangdong Provincial Hospital of Traditional Chinese Medicine, Guangzhou, China

Reference

  1. 1. Huang L, Feng W, Lin W, Chen J, Peng S, Du X, et al. (2023) Enhanced and unenhanced: Radiomics models for discriminating between benign and malignant cystic renal masses on CT images: A multi-center study. PLOS ONE 18(9): e0292110. https://doi.org/10.1371/journal.pone.0292110 pmid:37768941