Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network (Scientific Reports, (2022), 12, 1, (13460), 10.1038/s41598-022-17341-6)

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Abstract

The Acknowledgment section in the original version of this Article was incorrect. “This work was supported by the Korea Medical Device Development Fund Grant funded by the Korean Government (The Ministry of Science and ICT, The Ministry of Trade, Industry, and Energy, The Ministry of Health & Welfare, and The Ministry of Food and Drug Safety) (1711137883, KMDF_PR_20200901_0011, 1711138289, RS-2020-KD00014). This work was also supported by a Seoul National University Research Grant in 2021.” now reads: “This work was supported by a Seoul National University Research Grant in 2021. This work was also supported by the Korea Medical Device Development Fund Grant funded by the Korean Government (The Ministry of Science and ICT, The Ministry of Trade, Industry, and Energy, The Ministry of Health & Welfare, and The Ministry of Food and Drug Safety) (Project Number: 1711174552, KMDF_PR_20200901_0147 and Project Number: 1711174543, RS-2020-KD000011).” The original Article has been corrected.

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Jeoun, B. S., Yang, S., Lee, S. J., Kim, T. I., Kim, J. M., Kim, J. E., … Yi, W. J. (2022, December 1). Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network (Scientific Reports, (2022), 12, 1, (13460), 10.1038/s41598-022-17341-6). Scientific Reports. Nature Research. https://doi.org/10.1038/s41598-022-25677-2

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