Correction to: Scientific Reports https://doi.org/10.1038/s41598-024-58361-8, published online 03 April 2024
The Acknowledgements section in the original version of this Article was incomplete.
“This research was supported by Guangxi Science and Technology Department|Specific Research Project of Guangxi for Research Bases and Talents (No. AD22080022), Medical and Health Science and Technology Development Project of Shandong (No. 202103030876), National Natural Science Foundation of China (No. 62161031), Guangxi Natural Science Foundation (No. 2020GXNSFBA297097), and Fund of Shandong Second Provincial General Hospital (No. 2023MS10).”
now reads:
“This research was supported by Guangxi Science and Technology Department | Specific Research Project of Guangxi for Research Bases and Talents (No. AD22080022), Project for Enhancing Young and Middle-aged Teacher's Research Basis Ability in Colleges of Guangxi (No. 2020KY09028), Medical and Health Science and Technology Development Project of Shandong (No. 202103030876), National Natural Science Foundation of China (No. 62161031), Guangxi Natural Science Foundation (No. 2020GXNSFBA297097), and Fund of Shandong Second Provincial General Hospital (No. 2023MS10). We are grateful to Enshuang Gao of Nanning Normal University for collecting and assembling of data.”
The original Article has been corrected.
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Zhang, K., Wang, H., Cheng, Y. et al. Author Correction: Early gastric cancer detection and lesion segmentation based on deep learning and gastroscopic images. Sci Rep 14, 9025 (2024). https://doi.org/10.1038/s41598-024-59794-x
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DOI: https://doi.org/10.1038/s41598-024-59794-x
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