Labelling, segmentation and application of neural network based on machine learning of three-dimensional intraoral anatomical features.
10.3760/cma.j.cn112144-20210703-00313
- Author:
Cheng LI
1
;
Hu CHEN
1
;
Yong WANG
1
;
Yu Chun SUN
1
Author Information
1. Center of Digital Dentistry, Faculty of Prosthodontics, Peking University School and Hospital of Stomatology & National Center of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Research Center of Oral Biomaterials and Digital Medical Devices & Research Center of Engineering and Technology for Computerized Dentistry Ministry of Health & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China.
- Publication Type:Review
- MeSH:
Artificial Intelligence;
Machine Learning;
Neural Networks, Computer
- From:
Chinese Journal of Stomatology
2022;57(5):540-546
- CountryChina
- Language:Chinese
-
Abstract:
With the advent of the era of big data, artificial intelligence based on machine learning, especially artificial neural network has rapidly developed and applicated in the field of stomatology, owning huge potential in segmentation and labelling of three-dimensional intraoral anatomical features. Automatic segmentation, labelling and diagnosis can assist dentists and technicians to complete heavy and repeat work, change stomatology from subjective perception to objective science, and help to make diagnosis and treatment plan efficiently and accurately. This review briefly summarized related knowledge and development of machine learning and artificial neural network, its application status and existing problems in the field of segmentation and labelling of three-dimensional intraoral anatomical features, and provided an outlook of its future development.
