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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ISSN:2045-2322
DOI:10.1038/s41598-022-25677-2