Back to Search
Start Over
An overview of deep learning in the field of dentistry
- Source :
- Imaging Science in Dentistry
- Publication Year :
- 2019
- Publisher :
- Korean Academy of Oral and Maxillofacial Radiology, 2019.
-
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 and methods 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.
- Subjects :
- Network architecture
Modality (human–computer interaction)
Radiological and Ultrasound Technology
Standardization
business.industry
Computer science
Deep learning
Dentistry
Review Article
030206 dentistry
Oral and maxillofacial radiology
Convolutional neural network
Field (computer science)
030218 nuclear medicine & medical imaging
Study Object
03 medical and health sciences
Deep Learning
0302 clinical medicine
Artificial Intelligence
Radiology, Nuclear Medicine and imaging
Artificial intelligence
Radiology
business
General Dentistry
Subjects
Details
- ISSN :
- 22337830 and 22337822
- Volume :
- 49
- Database :
- OpenAIRE
- Journal :
- Imaging Science in Dentistry
- Accession number :
- edsair.doi.dedup.....36c21f8755bd5da4f38d84dcb83e51f9