Crossmark

Machine learning in 3D auto-filling alveolar cleft of CT images to assess the influence of alveolar bone grafting on the development of maxilla

Published Online: 2023-01-11

Authors

Zhang, Xin https://orcid.org/0000-0001-5825-7229
Qin, Niu https://orcid.org/0000-0003-0311-1120
Zhou, Zhibo https://orcid.org/0000-0001-5476-9921
Chen, Si https://orcid.org/0000-0003-4195-6351
Funding

Funding for this research was provided by:

National Key R&D Program of China (2016YFC1000804)

Ningxia Hui Autonomous Region key Research and Development program (2022BEG02031)

National Natural Science Foundation of China (51972005)

National Natural Science Foundation of China (U21A2055)

National Natural Science Foundation of China (82101074)
License Information

Text and Data Mining valid from 2023-01-11

Version of Record valid from 2023-01-11
More Information

Article History

Received: 25 September 2022

Accepted: 2 January 2023

First Online: 11 January 2023

Declarations

:

: This retrospective study was approved by the Institutional Ethical Committee of Peking University School and Hospital of Stomatology (approval number: PKUSSIRB-202280135) and conducted in accordance with the tenets of the Declaration of Helsinki. Informed consent was obtained from all patients before the CT was taken.

: Not applicable.

: The authors declare that they have no competing interests.

Document is current