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A Graph-Enhanced Self-Supervised Framework for 3D Tooth Segmentation Using Contrastive Masked Autoencoders: An In Silico Study.

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Title: A Graph-Enhanced Self-Supervised Framework for 3D Tooth Segmentation Using Contrastive Masked Autoencoders: An In Silico Study.
Authors: Li, Zhaoji1, Yang, Meng1,2, yangmeng@bjfu.edu.cn, Meng, Weiliang3,4
Source: Applied Sciences (2076-3417); Apr2026, Vol. 16 Issue 8, p3985, 18p
Database: Applied Science & Technology Source
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        Value: 10.3390/app16083985
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      – Code: eng
        Text: English
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        StartPage: 3985
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      – TitleFull: A Graph-Enhanced Self-Supervised Framework for 3D Tooth Segmentation Using Contrastive Masked Autoencoders: An In Silico Study.
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            NameFull: Li, Zhaoji
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            NameFull: Yang, Meng
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              Text: Apr2026
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              Y: 2026
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