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

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

Semantic segmentation over three-dimensional (3D) intra-oral mesh scans (IOS) is an essential step in modern digital dentistry. Many existing methods usually rely on a limited number of labeled samples as annotating IOS scans is time consuming, while a large-scale dataset of IOS is not yet publicly...

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Bibliographic Details
Main Authors: Songshang Liu, Howard H. Yang, Yiqi Tao, Yang Feng, Jin Hao, Zuozhu Liu
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Communications and Networks
Subjects:
federated learning
medical image analysis
semantic segmentation
homomorphic encryption
tooth segmentation
Online Access:https://www.frontiersin.org/articles/10.3389/frcmn.2022.907388/full

Internet

https://www.frontiersin.org/articles/10.3389/frcmn.2022.907388/full

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