The psc-CVM assessment system: A three-stage type system for CVM assessment based on deep learning.

ABSTRACT:

Background

Many scholars have proven cervical vertebral maturation (CVM) method can predict the growth and development and assist in choosing the best time for treatment. However, assessing CVM is a complex process. The experience and seniority of the clinicians have an enormous impact on judgment. This study aims to establish a fully automated, high-accuracy CVM assessment system called the psc-CVM assessment system, based on deep learning, to provide valuable reference information for the growth period determination.

Methods

This study used 10,200 lateral cephalograms as the data set (7111 in train set, 1544 in validation set and 1545 in test set) to train the system. The psc-CVM assessment system is designed as three parts with different roles, each operating in a specifi

SUBMITTER: Li H 

PROVIDER: S-EPMC10422791 | biostudies-literature | 2023 Aug

REPOSITORIES: biostudies-literature