面向牙齿X-RAY图像分割的牙齿模型OA

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.