作者
Jiangchang Xu, Shiming Wang, Zijie Zhou, Jiannan Liu, Xiaoyi Jiang, Xiaojun Chen
发表日期
2020/9
期刊
International Journal of Computer Assisted Radiology and Surgery
卷号
15
页码范围
1457-1465
出版商
Springer International Publishing
简介
Purpose
The analysis of the maxillary sinus (MS) can provide an assessment for many clinical diagnoses, so accurate CT image segmentation of the MS is essential. However, common segmentation methods are mainly done by experienced doctors manually, and there are some challenges such as low efficiency and precision. As for automatic methods, the initial seed points and adjustment of various parameters are required, which will affect the segmentation efficiency. Thus, accurate, efficient, and automatic segmentation method of MS is critical to promote the clinical application.
Methods
This paper proposed an automatic CT image segmentation method of MS based on VGG network and improved V-Net. The VGG network was established to classify CT slices, which can avoid the failure of CT slice segmentation without MS. Then, we proposed the improved V-Net based on edge supervision for segmenting …
引用总数
学术搜索中的文章
J Xu, S Wang, Z Zhou, J Liu, X Jiang, X Chen - International Journal of Computer Assisted Radiology …, 2020