3D morphometric quantification of maxillae and defects for patients with unilateral cleft palate via deep learning‐based CBCT image auto‐segmentation

Author:

Wang Xiaoyu12,Pastewait Matthew3,Wu Tai‐Hsien4ORCID,Lian Chunfeng5,Tejera Beatriz6,Lee Yan‐Ting7,Lin Feng‐Chang8,Wang Li9,Shen Dinggang101112,Li Song1,Ko Ching‐Chang4

Affiliation:

1. Department of Orthodontics Beijing Stomatological Hospital Capital Medical University Beijing China

2. Department of Stomatology Beijing Tian Tan Hospital Capital Medical University Beijing China

3. United States Air Force Kadena AB Kadena Japan

4. Division of Orthodontics College of Dentistry The Ohio State University Columbus OH USA

5. School of Mathematics and Statistics Xi'an Jiaotong University Shaanxi China

6. Orthodontics Nova Southeastern University Ft. Lauderdale FL USA

7. Oral and Craniofacial Health Sciences Research Adam School of Dentistry University of North Carolina Chapel Hill NC USA

8. Department of Biostatistics University of North Carolina Chapel Hill NC USA

9. Department of Radiology and Biomedical Research Imaging Center University of North Carolina Chapel Hill NC USA

10. Department of Research and Development Shanghai United Imaging Intelligence Co., Ltd. Shanghai China

11. School of Biomedical Engineering ShanghaiTech University Shanghai China

12. Department of Artificial Intelligence Korea University Seoul Korea

Funder

National Institute of Dental and Craniofacial Research

National Science Foundation

Publisher

Wiley

Subject

Otorhinolaryngology,Oral Surgery,Surgery,Orthodontics

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