In this study, a home dental care system consisting of an oral image acquisition device and deep learning models for maxillary and mandibular teeth images is proposed. The presented method not only classifies tooth diseases, but also determines whether a professional dental treatment (NPDT) is required. Additionally, a specially designed oral image acquisition device was developed to perform image acquisition of maxillary and mandibular teeth. Two evaluation metrics, namely, tooth disease and NPDT classifications, were examined using 610 compounded and 5251 tooth images annotated by an experienced dentist with a Doctor of Dental Surgery and another dentist with a Doctor of Dental Medicine. In the tooth disease and NPDT classifications, the proposed system showed accuracies greater than 96% and 89%, respectively. Based on these results, we believe that the proposed system will allow users to effectively manage their dental health by detecting tooth diseases by providing information on the need for dental treatment.

在这项研究中，提出了一种由口腔图像采集设备和上下颌牙齿图像深度学习模型组成的家庭牙科护理系统。所提出的方法不仅对牙齿疾病进行分类，而且还确定是否需要专业牙科治疗 (NPDT)。此外，还开发了一种专门设计的口腔图像采集装置，用于对上颌和下颌牙齿进行图像采集。两个评估指标，即牙齿疾病和 NPDT 分类，使用 610 个复合和 5251 个牙齿图像进行检查，这些图像由经验丰富的牙医和牙科外科学博士以及另一名牙医和牙科医学博士注释。在牙齿疾病和 NPDT 分类中，该系统的准确度分别超过 96% 和 89%。基于这些结果，