DilatedToothSegNet: Tooth Segmentation Network on 3D Dental Meshes Through Increasing Receptive Vision

The utilization of advanced intraoral scanners to acquire 3D dental models has gained significant popularity in the fields of dentistry and orthodontics. Accurate segmentation and labeling of teeth on digitized 3D dental surface models are crucial for computer-aided treatment planning. At the same t...

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Veröffentlicht in:	Journal of digital imaging 2024-08, Vol.37 (4), p.1846-1862
Hauptverfasser:	Krenmayr, Lucas, von Schwerin, Reinhold, Schaudt, Daniel, Riedel, Pascal, Hafner, Alexander
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Deep Learning Dentistry Humans Image Processing, Computer-Assisted - methods Imaging Imaging, Three-Dimensional - methods Labeling Medicine Medicine & Public Health Models, Dental Neural Networks, Computer Orthodontics Qualitative analysis Radiology Receptive field Segmentation State-of-the-art reviews Teeth Three dimensional models Tooth - anatomy & histology Tooth - diagnostic imaging
Online-Zugang:	Volltext
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