Roman A. ROSCHIN,Evgenii Vladimirovich KARNYGIN,Sergey GREBENKIN,Dmitry GUSKOV,Dmitrii ISCHEYKIN,Ivan POTAPENKO,Denis DURDIN,Roman GUDCHENKO,Vasily PARAKETSOV,Mikhail GORODILOV,Alexey VLADYKIN,Roman S
申请号：
US16593690
公开号：
US20200107915A1
申请日:
2019.10.04
申请国别(地区):
US
年份:
2020
代理人:
摘要：
Provided herein are systems and methods for determining if a 3D tooth model requires trimming or removal of incomplete or missing data (e.g., gingiva covering a portion of a tooth such as a molar). A patient's dentition may be scanned and/or segmented. Raw dental features, principal component analysis (PCA) features, and/or other features may be extracted and compared to those of other teeth, such as those obtained through automated machine learning systems. A classifier can identify and/or output probability that the 3D tooth model requires trimming. Trimming of the 3D tooth model can be implemented without human intervention.
