Development and validation of a novel craniofacial statistical shape model for the virtual reconstruction of bilateral maxillary defects

This study was performed to improve the VSP workflow for FFFR using statistical shape modeling (SSM) – a form of unsupervised machine learning – to virtually reconstruct premorbid anatomy in an automated, reproducible, and patient-specific manner.
Source: International Journal of Oral and Maxillofacial Surgery - Category: ENT & OMF Authors: Tags: Research Paper Source Type: research