福建电脑2024，Vol.40Issue(1)：44-47,4.DOI:10.16707/j.cnki.fjpc.2024.01.008
面向牙齿X-RAY图像分割的牙齿模型
Research on Tooth X-Ray Image Segmentation Based on U-Net
摘要
Abstract
Medical image segmentation technology provides key basis for clinical diagnosis and treatment,but traditional image segmentation techniques are prone to over segmentation of images and the segmentation effect is not precise enough.To address these issues,this article investigates the use of U-Net network for segmenting dental X-Ray images.By selecting pooling operations,activation functions,and the number of epochs reasonably,problems such as low contrast between teeth and surrounding tissues,blurred boundaries,uneven distribution of teeth and background,and adhesion between teeth and tissues in dental X-ray images can be solved.The experimental results indicate that the U-Net network has effective segmentation performance for dental X-ray images.关键词
牙齿X-Ray图像/图像分割/U-Net模型Key words
Tooth X-ray Images/Image Segmentation/U-Net Network分类
信息技术与安全科学引用本文复制引用
周敬策,陆惠玲..面向牙齿X-RAY图像分割的牙齿模型[J].福建电脑,2024,40(1):44-47,4.基金项目
本文得到宁夏自然科学基金项目(No.2022AAC03149)资助. （No.2022AAC03149）
