US Patent 11903793 Machine learning dental segmentation methods using sparse voxel representations
Patent 11903793 was granted and assigned to Align Technology on February, 2024 by the United States Patent and Trademark Office.
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US Patent 11903793 Machine learning dental segmentation methods using sparse voxel representations
Article
Patent abstract
Methods for automatically segmenting a 3D model of a patient's teeth may include scanning a patient's dentition and converting the scan data into a 3D model, including a sparse voxel representation of the 3D model. Features can be extracted from the sparse voxel representation of the 3D model and input into a machine learning model to train the machine learning model to segment the 3D model into individual dental components.
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Patent Applicant
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Patent Inventor Names
Aleksandr Anikin0
Aleksandr Sergeevich Karsakov0
Alexander Vovchenko0
Anton Baskanov0
Christopher E. Cramer0
Denis Durdin0
Dmitrii Ischeykin0
Dmitry Guskov0
Elizaveta Ulianenko0
Ivan Potapenko0
Mikhail Gorodilov0
Mikhail Toporkov0
Nikolay Zhirnov0
Roman Gudchenko0
Roman Solovyev0
Sergey Grebenkin0
Vasily Paraketsov0
Date of Patent
February 20, 2024
0Patent Application Number
171388240
Date Filed
December 30, 2020
0Patent Citations
0
Patent Primary Examiner
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