Over the past few years, several methods have been proposed to improve the accuracy of age estimation in infants with a focus on dental development as a reliable marker. However, traditional approaches have limitations in efficiently combining information from different teeth and features. In order to address these challenges, this article presents a study on age estimation in infants with Machine Learning (ML) techniques, using deciduous teeth.

中文翻译：

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使用机器学习从乳牙估计婴儿年龄的信息融合

在过去的几年里，人们提出了几种方法来提高婴儿年龄估计的准确性，重点是将牙齿发育作为可靠的标志。然而，传统方法在有效组合来自不同牙齿和特征的信息方面存在局限性。为了应对这些挑战，本文提出了一项使用乳牙的机器学习 (ML) 技术对婴儿年龄估计的研究。