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Author Correction: Dental anomaly detection using intraoral photos via deep learning
| Autores principales: | , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360003/ https://www.ncbi.nlm.nih.gov/pubmed/35941160 http://dx.doi.org/10.1038/s41598-022-17668-0 |
| _version_ | 1784764257593720832 |
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| author | Ragodos, Ronilo Wang, Tong Padilla, Carmencita Hecht, Jacqueline T. Poletta, Fernando A. Orioli, Iêda M. Buxó, Carmen J. Butali, Azeez Valencia-Ramirez, Consuelo Muñeton, Claudia Restrepo Wehby, George L. Weinberg, Seth M. Marazita, Mary L. Moreno Uribe, Lina M. Howe, Brian J. |
| author_facet | Ragodos, Ronilo Wang, Tong Padilla, Carmencita Hecht, Jacqueline T. Poletta, Fernando A. Orioli, Iêda M. Buxó, Carmen J. Butali, Azeez Valencia-Ramirez, Consuelo Muñeton, Claudia Restrepo Wehby, George L. Weinberg, Seth M. Marazita, Mary L. Moreno Uribe, Lina M. Howe, Brian J. |
| author_sort | Ragodos, Ronilo |
| collection | PubMed |
| description | |
| format | Online Article Text |
| id | pubmed-9360003 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2022 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-93600032022-08-10 Author Correction: Dental anomaly detection using intraoral photos via deep learning Ragodos, Ronilo Wang, Tong Padilla, Carmencita Hecht, Jacqueline T. Poletta, Fernando A. Orioli, Iêda M. Buxó, Carmen J. Butali, Azeez Valencia-Ramirez, Consuelo Muñeton, Claudia Restrepo Wehby, George L. Weinberg, Seth M. Marazita, Mary L. Moreno Uribe, Lina M. Howe, Brian J. Sci Rep Author Correction Nature Publishing Group UK 2022-08-08 /pmc/articles/PMC9360003/ /pubmed/35941160 http://dx.doi.org/10.1038/s41598-022-17668-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
| spellingShingle | Author Correction Ragodos, Ronilo Wang, Tong Padilla, Carmencita Hecht, Jacqueline T. Poletta, Fernando A. Orioli, Iêda M. Buxó, Carmen J. Butali, Azeez Valencia-Ramirez, Consuelo Muñeton, Claudia Restrepo Wehby, George L. Weinberg, Seth M. Marazita, Mary L. Moreno Uribe, Lina M. Howe, Brian J. Author Correction: Dental anomaly detection using intraoral photos via deep learning |
| title | Author Correction: Dental anomaly detection using intraoral photos via deep learning |
| title_full | Author Correction: Dental anomaly detection using intraoral photos via deep learning |
| title_fullStr | Author Correction: Dental anomaly detection using intraoral photos via deep learning |
| title_full_unstemmed | Author Correction: Dental anomaly detection using intraoral photos via deep learning |
| title_short | Author Correction: Dental anomaly detection using intraoral photos via deep learning |
| title_sort | author correction: dental anomaly detection using intraoral photos via deep learning |
| topic | Author Correction |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9360003/ https://www.ncbi.nlm.nih.gov/pubmed/35941160 http://dx.doi.org/10.1038/s41598-022-17668-0 |
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