首页|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)
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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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.”
DundeeUnited KingdomEuropeCyborgsDentistryEmerging TechnologiesHealth and MedicineMachine LearningMathem aticsPolynomial
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