Building a data system to support deep learning for diagnosis of early- stage dental caries
Main Article Content
Abstract
The purpose of this study is to build a data system to support deep learning for screening diagnosis of early - stage dental caries of 3 to 6 – years - old on various facilities in Hanoi. The results of the study illustrate that: The number of images with early - stage caries in the database of this study is 478. There is a variety in the number and locations of early - stage cavities in all 5 angles of oral imaging; panorama, right side, left side, upper jaw, lower jaw account for 505 teeth, 362 teeth, 363 teeth, 50 teeth and 90 teeth, respectively. In conclusion, the constructed database shows that the distribution of early caries lesions concentrated on the outer surface of the tooth with 994 lesions; there were 65 lesions on the occlusal surface and only 14 on the lateral surface.
Article Details
Keywords
Database, early-stages dental caries, 3 to 6 year-old children
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