Robotics & Machine Learning Daily News2024,Issue(MAY.23) :10-10.

University of Dundee Reports Findings in Machine Learning (Machine learning assi sted 5-part tooth segmentation method for CBCT-based dental age estimation in ad ults)

Robotics & Machine Learning Daily News2024,Issue(MAY.23) :10-10.

University of Dundee Reports Findings in Machine Learning (Machine learning assi sted 5-part tooth segmentation method for CBCT-based dental age estimation in ad ults)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on Machine Learning is the subject o f a report. According to news originating from Dundee, United Kingdom, by NewsRx correspondents, research stated, “The utilization of segmentation method using volumetric data in adults dental age estimation (DAE) from cone-beam computed to mography (CBCT) was further expanded by using current 5-Part Tooth Segmentation (SG) method. Additionally, supervised machine learning modelling -namely support vector regression (SVR) with linear and polynomial kernel, and regression tree - was tested and compared with the multiple linear regression model.”

Key words

Dundee/United Kingdom/Europe/Cyborgs/Dentistry/Emerging Technologies/Health and Medicine/Machine Learning/Mathem atics/Polynomial

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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