Abstract
In the modern world, people care more about dental health care, and dentistry has an important role in our health. Using dental X-ray images, dentists can diagnose possible dental diseases and create an effective treatment for patients. In this chapter, we introduce several machine learning methods to segment the dental images to support dentists in dental disease diagnoses. The proposed methods have been implemented on the real dataset of radiography patients from Hanoi Medical University Hospital. The empirical results show that these methods have a higher performance than the related ones through various validity indices. The content of this chapter presents the results of our research that has been performed since 2015.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
More From: Handbook of Data Science Approaches for Biomedical Engineering
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.