Correction to: Scientific Reports https://doi.org/10.1038/s41598-021-84295-6, published online 04 March 2021
The original version of this Article contained errors in the Reference list. The authors omitted the below paper, which is listed as Reference 22.
Sarikaya, D., Corso, J. J. & Guru, K. A. Detection and localization of robotic tools in robot-assisted surgery videos using deep neural networks for region proposal and detection. IEEE Trans. Med. Imaging 36, 1542–1549 https://doi.org/10.1109/TMI.2017.2665671 (2017).
As a result, in the Introduction,
“Methodologies have ranged from hidden markov chains20 and traditional machine learning classifiers14, over time series feature extraction17,18 to CNNs15,16,21.”
now reads:
“Methodologies have ranged from hidden markov chains20 and traditional machine learning classifiers14, over time series feature extraction17,18 to CNNs15,16,21,22.”
Consequently, References 23–33 were incorrectly listed as References 22–32.
The original Article has been corrected.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Lavanchy, J.L., Zindel, J., Kirtac, K. et al. Author Correction: Automation of surgical skill assessment using a three-stage machine learning algorithm. Sci Rep 11, 8933 (2021). https://doi.org/10.1038/s41598-021-88175-x
Published:
DOI: https://doi.org/10.1038/s41598-021-88175-x
Comments
By submitting a comment you agree to abide by our Terms and Community Guidelines. If you find something abusive or that does not comply with our terms or guidelines please flag it as inappropriate.
