Labelling, segmentation and application of neural network based on machine learning of three-dimensional intraoral anatomical features / 中华口腔医学杂志
Chinese Journal of Stomatology
;
(12): 540-546, 2022.
Article
Dans Chinois
| WPRIM
| ID: wpr-935899
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.
Texte intégral:
Disponible
Indice:
WPRIM (Pacifique occidental)
Sujet Principal:
Intelligence artificielle
/
/
Apprentissage machine
langue:
Chinois
Texte intégral:
Chinese Journal of Stomatology
Année:
2022
Type:
Article
Documents relatifs à ce sujet
MEDLINE
...
LILACS
LIS