An overview of deep learning in the field of dentistry
Imaging Science in Dentistry
;
: 1-7, 2019.
Artículo
en Inglés
| WPRIM
| ID: wpr-740406
ABSTRACT
PURPOSE:
Artificial intelligence (AI), represented by deep learning, can be used for real-life problems and is applied across all sectors of society including medical and dental field. The purpose of this study is to review articles about deep learning that were applied to the field of oral and maxillofacial radiology. MATERIALS ANDMETHODS:
A systematic review was performed using Pubmed, Scopus, and IEEE explore databases to identify articles using deep learning in English literature. The variables from 25 articles included network architecture, number of training data, evaluation result, pros and cons, study object and imaging modality.RESULTS:
Convolutional Neural network (CNN) was used as a main network component. The number of published paper and training datasets tended to increase, dealing with various field of dentistry.CONCLUSION:
Dental public datasets need to be constructed and data standardization is necessary for clinical application of deep learning in dental field.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Inteligencia Artificial
/
Odontología
/
Conjunto de Datos
/
Aprendizaje
Tipo de estudio:
Overview
/
Estudio pronóstico
Idioma:
Inglés
Revista:
Imaging Science in Dentistry
Año:
2019
Tipo del documento:
Artículo
Similares
MEDLINE
...
LILACS
LIS