摘要
通过计算机识别面神经序列图像中的感兴趣区域,可以在手术规划过程中辅助医生辨别具体的功能区域,使医生进行手术时更有针对性,避免对面部神经区域的额外伤害。将面神经图像处理并划分成不同的功能区域,利用卷积神经网络对大量病例样本进行学习,得到具有较高准确率的感兴趣区域识别模型。实验结果表明,该卷积神经网络模型可以有效地对面神经序列图像识别出感兴趣区域,具有一定的医疗辅助作用。
The computer recognition of facial nerve MR image sequences in the region of interest,can help doctors identify specific functional areas in the surgical planning process and performe the operation more targeted to avoid additional damage of facial nerve area.In this paper,facial nerve MR images are segmented into different functional areas,and a large number of case samples are studied by convolutional neural network,and the recognition model with high accuracy is obtained.The experimental results show that the convolutional neural network model can effectively recognize the region of interest in the image recognition of facial nerve,and it has a certain medical assistant effect.
出处
《计算机与现代化》
2017年第11期51-54,共4页
Computer and Modernization
基金
广东省高性能计算重点实验室开放项目(TH1528)
关键词
面神经序列图像
卷积神经网络(CNN)
图像处理
感兴趣区域识别
facial nerve MR image sequences
convolutional neural network
image processing
region of interest in image recognition
