検索に戻る
案件記録

MACHINE LEARNING SCORING SYSTEM AND METHODS FOR TOOTH POSITION ASSESSMENT

発明審査中
20請求項 · 3 独立
§ Ⅰ

案件概要

発明者

Guotu LI; Christopher E. CRAMER; Chad Clayton BROWN; Anton SPIRIDONOV

IPC分類

A61C 9/A61B 5/A61C 7/A61C 13/20A61C 13/34

CPC分類

A61C9/53A61B5/88A61B5/7264A61C7/2A61C13/20A61C13/34

Provided herein are systems and methods for scoring a post-treatment tooth position of a patient's teeth. 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 the post-treatment tooth position of the patient's teeth.

原文(中国語)

Provided herein are systems and methods for scoring a post-treatment tooth position of a patient's teeth. 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 the post-treatment tooth position of the patient's teeth.

外部リソース