Automatic detection and classification of dental fluorosis in vivo using white light and fluorescence imaging
Objectives: To assess a novel method of automatic fluorosis detection and classification from white light and fluorescent images. Methods: Dental images from 1,729 children living in two fluoridated and two non-fluoridated UK cities were utilised. A novel detection and classification algorithm was a...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2018
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |