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Diagnostics
Volume 14
Issue 9
10.3390/diagnostics14090900
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Correction to Diagnostics 2023, 13(1), 123.
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Correction

Correction: Raymann, J.; Rajalakshmi, R. GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames. Diagnostics 2023, 13, 123

by
Joel Raymann
1 and
Ratnavel Rajalakshmi
2,*
1
Faculty of Mathematics, University of Waterloo, Waterloo, ON N2L 3G1, Canada
2
School of Computer Science and Engineering, Vellore Institute of Technology, Chennai 600127, India
*
Author to whom correspondence should be addressed.
Diagnostics 2024, 14(9), 900; https://doi.org/10.3390/diagnostics14090900
Submission received: 20 March 2024 / Accepted: 20 March 2024 / Published: 25 April 2024
(This article belongs to the Section Machine Learning and Artificial Intelligence in Diagnostics)
Versions Notes
There was an error in the original publication [1]. Section 2. Related Works contains paragraphs from the journal’s template.
A correction has been made by removing the last three paragraphs of Section 2. Related Works.
The authors state that the scientific conclusions are unaffected. This correction was approved by the Academic Editor. The original publication has also been updated.

Reference

  1. Raymann, J.; Rajalakshmi, R. GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames. Diagnostics 2023, 13, 123. [Google Scholar] [CrossRef] [PubMed]
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MDPI and ACS Style

Raymann, J.; Rajalakshmi, R. Correction: Raymann, J.; Rajalakshmi, R. GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames. Diagnostics 2023, 13, 123. Diagnostics 2024, 14, 900. https://doi.org/10.3390/diagnostics14090900

AMA Style

Raymann J, Rajalakshmi R. Correction: Raymann, J.; Rajalakshmi, R. GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames. Diagnostics 2023, 13, 123. Diagnostics. 2024; 14(9):900. https://doi.org/10.3390/diagnostics14090900

Chicago/Turabian Style

Raymann, Joel, and Ratnavel Rajalakshmi. 2024. "Correction: Raymann, J.; Rajalakshmi, R. GAR-Net: Guided Attention Residual Network for Polyp Segmentation from Colonoscopy Video Frames. Diagnostics 2023, 13, 123" Diagnostics 14, no. 9: 900. https://doi.org/10.3390/diagnostics14090900

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