| 摘要: |
| ［摘要］ 卷积神经网络（CNN）在图像识别领域中表现较为突出，它作为一种人工智能的代表性方法，在口腔医学领域受到了广泛的关注。CNN在口腔疾病的预测、诊断及治疗等方面都有较高的能力，可帮助临床医师制定治疗计划。该文对CNN在口腔疾病中应用的研究进展作一综述。 |
| 关键词: 卷积神经网络 人工智能 口腔疾病 锥形束计算机断层扫描 |
| DOI：10.3969/j.issn.1674-3806.2024.07.22 |
| 分类号:R 783 |
| 基金项目:苏州市科技计划项目（编号：SYS2020118） |
|
| Research progress on the application of convolutional neural network in oral diseases |
|
LU Yang, ZHOU Mengyuan, XIAO Can
|
|
Department of Stomatology, the First Affiliated Hospital of Soochow University, Jiangsu 215006,China
|
| Abstract: |
| ［Abstract］ Convolutional neural network(CNN) has shown particularly outstanding performance in the field of image recognition. As a representative method of artificial intelligence, CNN has attracted widespread attention in the field of stomatology. CNN has high capabilities in predicting, diagnosing and treating oral diseases, and can help clinicians make treatment plans. In this paper, the research progress on the application of CNN in oral diseases is reviewed. |
| Key words: Convolutional neural network(CNN) Artificial intelligence Oral diseases Cone-beam computed tomography(CBCT) |
