CORRECTION article

Front. Oncol., 07 November 2023

Sec. Cancer Imaging and Image-directed Interventions

Volume 13 - 2023 | https://doi.org/10.3389/fonc.2023.1302777

Corrigendum: Convolutional neural network-based diagnostic model for a solid, indeterminate solitary pulmonary nodule or mass on computed tomography

  • 1. Department of Radiology, Huashan Hospital, Fudan University, Shanghai, China

  • 2. Department of Radiology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China

  • 3. Department of Computer Science and Technology, College of Electronics and Information Engineering, Tongji University, Shanghai, China

  • 4. Department of Pathology, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, China

In the published article, there was an error in Figure 1 as published. Figure 1D2 and Figure 1C2 were duplicated by mistake. The corrected Figure 1 and its caption appear below.

Figure 1

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.

Statements

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.

Summary

Keywords

neural network model, computed tomography, differential diagnosis, solid, indeterminate solitary pulmonary nodule, lung adenocarcinoma

Citation

Sun K, Chen S, Zhao J, Wang B, Yang Y, Wang Y, Wu C and Sun X (2023) Corrigendum: Convolutional neural network-based diagnostic model for a solid, indeterminate solitary pulmonary nodule or mass on computed tomography. Front. Oncol. 13:1302777. doi: 10.3389/fonc.2023.1302777

Received

28 September 2023

Accepted

30 October 2023

Published

07 November 2023

Volume

13 - 2023

Edited and reviewed by

Abhishek Mahajan, The Clatterbridge Cancer Centre, United Kingdom

Updates

Copyright

*Correspondence: Chunyan Wu, ; Xiwen Sun,

†These authors have contributed equally to this work and share first authorship

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.

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