Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network.

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Title: Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network.
Authors: Jeoun BS; Interdisciplinary Program in Bioengineering, Graduate School of Engineering, Seoul National University, Seoul, Korea., Yang S; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea., Lee SJ; Vision AI Business Team, LG CNS, Seoul, Korea., Kim TI; Department of Periodontology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea., Kim JM; Department of Electronics and Information Engineering, Hansung University, Seoul, Korea., Kim JE; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea., Huh KH; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea., Lee SS; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea., Heo MS; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea., Yi WJ; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea. wjyi@snu.ac.kr.; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea. wjyi@snu.ac.kr.
Source: Scientific reports [Sci Rep] 2022 Dec 07; Vol. 12 (1), pp. 21137. Date of Electronic Publication: 2022 Dec 07.
Publication Type: Published Erratum
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE; PubMed not MEDLINE
Database: MEDLINE Ultimate
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  Data: Author Correction: Canal-Net for automatic and robust 3D segmentation of mandibular canals in CBCT images using a continuity-aware contextual network.
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  Data: <searchLink fieldCode="AU" term="%22Jeoun+BS%22">Jeoun BS</searchLink>; Interdisciplinary Program in Bioengineering, Graduate School of Engineering, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Yang+S%22">Yang S</searchLink>; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SJ%22">Lee SJ</searchLink>; Vision AI Business Team, LG CNS, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+TI%22">Kim TI</searchLink>; Department of Periodontology, School of Dentistry and Dental Research Institute, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JM%22">Kim JM</searchLink>; Department of Electronics and Information Engineering, Hansung University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Kim+JE%22">Kim JE</searchLink>; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Huh+KH%22">Huh KH</searchLink>; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Lee+SS%22">Lee SS</searchLink>; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Heo+MS%22">Heo MS</searchLink>; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea.<br /><searchLink fieldCode="AU" term="%22Yi+WJ%22">Yi WJ</searchLink>; Department of Applied Bioengineering, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea. wjyi@snu.ac.kr.; Department of Oral and Maxillofacial Radiology and Dental Research Institute, School of Dentistry, Seoul National University, Seoul, Korea. wjyi@snu.ac.kr.
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  Data: <searchLink fieldCode="JN" term="%22101563288%22">Scientific reports</searchLink> [Sci Rep] 2022 Dec 07; Vol. 12 (1), pp. 21137. <i>Date of Electronic Publication: </i>2022 Dec 07.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Nature+Publishing+Group%22">Nature Publishing Group </searchLink><i>Country of Publication: </i>England <i>NLM ID: </i>101563288 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2045-2322 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220452322%22">20452322 </searchLink><i>NLM ISO Abbreviation: </i>Sci Rep <i>Subsets: </i>MEDLINE; PubMed not MEDLINE
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        Value: 10.1038/s41598-022-25677-2
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              Text: 2022 Dec 07
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