首页|New Networks Study Results from Sun Yat-sen University Described (Construction of an End-to-end Regression Neural Network for the Determination of a Quantitative Index Sagittal Root Inclination)
New Networks Study Results from Sun Yat-sen University Described (Construction of an End-to-end Regression Neural Network for the Determination of a Quantitative Index Sagittal Root Inclination)
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By a News Reporter-Staff News Editor at Network Daily News - Investigatorsdiscuss new findings in Networks. According to news reporting from Guangzhou, People’s Republic ofChina, by NewsRx journalists, research stated, “Immediate implant placement in the esthetic area requirescomprehensive assessments with nearly 30 quantitative indexes. Most artificial intelligence (AI)-drivenmeasurements of quantitative indexes depend on segmentation or landmark detection, which require extralabeling of images and contain possible intraclass errors.”Funders for this research include National Natural Science Foundation of China (NSFC), NationalNatural Science Foundation of Guangdong Province, Guangdong Financial Fund for High-Caliber HospitalConstruction, International Team for Implantology (ITI) Research Grant, National Undergraduate TrainingProgram for Innovation and Entrepreneurship.
GuangzhouPeople’s Republic of ChinaAsiaNetworksNeural NetworksSun Yat-sen University
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