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Correction: Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification

Visual Computing for Industry, Biomedicine, and Art volume 7, Article number: 19 (2024) Cite this article

The Original Article was published on 08 July 2024

Correction: Vis. Comput. Ind. Biomed. Art 7, 17 (2024)

https://doi.org/10.1186/s42492-024-00168-5


Following publication of the original article [1], the authors reported a typesetting error in the authors’ affiliations.

Due to a typesetting error, the affiliations of authors Shaoyi Du and Lin Wang were mistakenly assigned.

The originally published version:

Shaoyi Du1,2 and Lin Wang3

The correct version should read:

Shaoyi Du2,3 and Lin Wang1

The original article [1] has been updated.

Reference

  1. Li, Y., Xin, Y., Li, X. et al. Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification. Vis. Comput. Ind. Biomed. Art 7, 17 (2024). https://doi.org/10.1186/s42492-024-00168-5

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Authors and Affiliations

  1. School of Information Science and Technology, Northwest University, Xi’an, 710127, Shaanxi Province, China

    Yufei Li, Yufei Xin, Xinni Li, Yinrui Zhang, Cheng Liu, Zhengwen Cao & Lin Wang

  2. Department of Ultrasound, the Second Affiliated Hospital of Xi’an Jiaotong University, Xi’an, Shaanxi Province, 710004, China

    Shaoyi Du

  3. National Key Laboratory of Human-Machine Hybrid Augmented Intelligence, National Engineering Research Center for Visual Information and Applications, and Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, Shaanxi Province, 710004, China

    Shaoyi Du

Authors
  1. Yufei Li
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  2. Yufei Xin
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  3. Xinni Li
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  4. Yinrui Zhang
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  5. Cheng Liu
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  6. Zhengwen Cao
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  7. Shaoyi Du
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  8. Lin Wang
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Corresponding authors

Correspondence to Shaoyi Du or Lin Wang.

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Li, Y., Xin, Y., Li, X. et al. Correction: Omni-dimensional dynamic convolution feature coordinate attention network for pneumonia classification. Vis. Comput. Ind. Biomed. Art 7, 19 (2024). https://doi.org/10.1186/s42492-024-00170-x

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  • DOI: https://doi.org/10.1186/s42492-024-00170-x