A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images
Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT images is an essential step in digital dentistry for precision dental healthcare. Here, the authors present a deep learning system for efficient, precise, and fully automatic segmentation of real-patient CBCT images...
| Main Authors: | , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2022-04-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-022-29637-2 |
| _version_ | 1828496671221219328 |
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| author | Zhiming Cui Yu Fang Lanzhuju Mei Bojun Zhang Bo Yu Jiameng Liu Caiwen Jiang Yuhang Sun Lei Ma Jiawei Huang Yang Liu Yue Zhao Chunfeng Lian Zhongxiang Ding Min Zhu Dinggang Shen |
| author_facet | Zhiming Cui Yu Fang Lanzhuju Mei Bojun Zhang Bo Yu Jiameng Liu Caiwen Jiang Yuhang Sun Lei Ma Jiawei Huang Yang Liu Yue Zhao Chunfeng Lian Zhongxiang Ding Min Zhu Dinggang Shen |
| author_sort | Zhiming Cui |
| collection | DOAJ |
| description | Accurate delineation of individual teeth and alveolar bones from dental cone-beam CT images is an essential step in digital dentistry for precision dental healthcare. Here, the authors present a deep learning system for efficient, precise, and fully automatic segmentation of real-patient CBCT images presenting highly variable appearances. |
| first_indexed | 2024-12-11T12:33:53Z |
| format | Article |
| id | doaj.art-8d02f793fbb24e1f82dc435bf196fc30 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-11T12:33:53Z |
| publishDate | 2022-04-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-8d02f793fbb24e1f82dc435bf196fc302022-12-22T01:07:10ZengNature PortfolioNature Communications2041-17232022-04-0113111110.1038/s41467-022-29637-2A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT imagesZhiming Cui0Yu Fang1Lanzhuju Mei2Bojun Zhang3Bo Yu4Jiameng Liu5Caiwen Jiang6Yuhang Sun7Lei Ma8Jiawei Huang9Yang Liu10Yue Zhao11Chunfeng Lian12Zhongxiang Ding13Min Zhu14Dinggang Shen15School of Biomedical Engineering, ShanghaiTech UniversitySchool of Biomedical Engineering, ShanghaiTech UniversitySchool of Biomedical Engineering, ShanghaiTech UniversityShanghai Ninth People’s Hospital, Shanghai Jiao Tong UniversitySchool of Public Health, Hangzhou Medical CollegeSchool of Biomedical Engineering, ShanghaiTech UniversitySchool of Biomedical Engineering, ShanghaiTech UniversitySchool of Biomedical Engineering, ShanghaiTech UniversitySchool of Biomedical Engineering, ShanghaiTech UniversitySchool of Biomedical Engineering, ShanghaiTech UniversityDepartment of Orthodontics, Stomatological Hospital of Chongqing Medical UniversitySchool of Communication and Information Engineering, Chongqing University of Posts and TelecommunicationsSchool of Mathematics and Statistics, Xi’an Jiaotong UniversityDepartment of Radiology, Hangzhou First People’s Hospital, Zhejiang UniversityShanghai Ninth People’s Hospital, Shanghai Jiao Tong UniversitySchool of Biomedical Engineering, ShanghaiTech UniversityAccurate delineation of individual teeth and alveolar bones from dental cone-beam CT images is an essential step in digital dentistry for precision dental healthcare. Here, the authors present a deep learning system for efficient, precise, and fully automatic segmentation of real-patient CBCT images presenting highly variable appearances.https://doi.org/10.1038/s41467-022-29637-2 |
| spellingShingle | Zhiming Cui Yu Fang Lanzhuju Mei Bojun Zhang Bo Yu Jiameng Liu Caiwen Jiang Yuhang Sun Lei Ma Jiawei Huang Yang Liu Yue Zhao Chunfeng Lian Zhongxiang Ding Min Zhu Dinggang Shen A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images Nature Communications |
| title | A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images |
| title_full | A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images |
| title_fullStr | A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images |
| title_full_unstemmed | A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images |
| title_short | A fully automatic AI system for tooth and alveolar bone segmentation from cone-beam CT images |
| title_sort | fully automatic ai system for tooth and alveolar bone segmentation from cone beam ct images |
| url | https://doi.org/10.1038/s41467-022-29637-2 |
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