Report for: Privacy-Preserved Federated Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans

Title	Privacy-Preserved Federated Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans
Published in	Frontiers in Communications and Networks, June 2022
DOI	10.3389/frcmn.2022.907388
Authors	Songshang Liu, Howard H. Yang, Yiqi Tao, Yang Feng, Jin Hao, Zuozhu Liu

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.

Country	Count	As %
United States	1	50%
Switzerland	1	50%

Type	Count	As %
Scientists	1	50%
Members of the public	1	50%

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Country	Count	As %
Unknown	7	100%

Readers by professional status	Count	As %
Student > Ph. D. Student	2	29%
Student > Master	2	29%
Student > Bachelor	1	14%
Unknown	2	29%

Privacy-Preserved Federated Learning for 3D Tooth Segmentation in Intra-Oral Mesh Scans