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  • 标题:Author Correction: Automated rotator cuff tear classification using 3D convolutional neural network
  • 本地全文:下载
  • 作者:Eungjune Shim ; Joon Yub Kim ; Jong Pil Yoon
  • 期刊名称:Scientific Reports
  • 电子版ISSN:2045-2322
  • 出版年度:2021
  • 卷号:11
  • DOI:10.1038/s41598-021-95469-7
  • 语种:English
  • 出版社:Springer Nature
  • 摘要:Correction to: Scientific Reports https://doi.org/10.1038/s41598-020-72357-0, published online 24 September 2020 The original version of this Article contained errors in the Abstract. “The VRN-based 3D CNN outperformed orthopedists specialized in shoulder and general orthopedists in binary accuracy (92.5% vs. 76.4% and 68.2%), top-1 accuracy (69.0% vs. 45.8% and 30.5%), top-1±1 accuracy (87.5% vs. 79.8% and 71.0%), sensitivity (0.94 vs. 0.86 and 0.90), and specificity (0.90 vs. 0.58 and 0.29).” now reads: “The VRN-based 3D CNN outperformed orthopedists specialized in shoulder and general orthopedists in binary accuracy (92.5% vs. 76.4% and 68.2%), top-1 accuracy (69.0% vs. 45.8% and 30.5%), top-1±1 accuracy (87.5% vs. 79.8% and 71.0%), sensitivity (0.92 vs. 0.89 and 0.93), and specificity (0.86 vs. 0.61 and 0.26).” The original Article has been corrected.
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