Segmentation of low-grade gliomas based on the growing region and level sets techniques

机译：基于生长区域和水平集技术的低度神经胶质瘤分割

获取原文

页面导航

摘要
著录项
相似文献
相关主题

摘要

In this paper, we propose a novel semi-automatic segmentation method based on the local image properties. Its originality is twofold, the first stands on the intensity invariant of phase-local information for the purpose of low-grade gliomas segmentation in MR images. In a second time, a level set method driven is combined to growing region so as to improve tumor detection. Experiments were conducted on a set of medical images. A comparison between the obtained results and the manual segmentation collected from experts is performed. The preliminary results are interesting and encouraging.

机译：在本文中，我们提出了一种基于局部图像属性的新型半自动分割方法。其独创性是双重的，第一个代表相局部信息的强度不变性，目的是为了在MR图像中进行低级神经胶质瘤分割。第二次，将驱动的水平设定方法结合到生长区域，以改善肿瘤检测。对一组医学图像进行了实验。将获得的结果与从专家那里收集的手动细分进行比较。初步结果有趣而令人鼓舞。

著录项

来源
《International Conference on Advanced Technologies for Signal and Image Processing》|2018年|1-5|共5页
会议地点
作者
Zaouche Rahima; Belaid Ahror; Solaiman Basel; Ben Salem Douraied; Tliba Souhil;
展开▼
作者单位

展开▼
会议组织
原文格式 PDF
正文语种
中图分类
关键词
Image segmentation; Level set; Tumors; Biomedical imaging; Manuals; Magnetic resonance imaging; Image analysis;

机译：图像分割;水平集;肿瘤;生物医学成像;手册;磁共振成像;图像分析;

相似文献

外文文献
中文文献
专利

1. Liver segmentation based on region growing and level set active contour model with new signed pressure force function [J] . Lei Xu, Yingliang Zhu, Yuhao Zhang, Optik: Zeitschrift fur Licht- und Elektronenoptik: = Journal for Light-and Electronoptic . 2020,第期

机译：基于地区生长和水平设定活性轮廓模型的肝脏分割，具有新的签名压力函数
2. Liver Segmentation Based on Hybrid-Distance Regularized Level Set Evolution Combining Region Growing in Abdominal Computed Tomography [J] . Wang Jinke, Guo Haoyan, Tamura Shinichi Journal of Medical Imaging and Health Informatics . 2018,第7期

机译：基于混合距正规水平集中的肝脏分割组合组合区域在腹部计算断层扫描中生长
3. Retinal vessels segmentation based on level set and region growing [J] . Yu Qian Zhao, Xiao Hong Wang, Xiao Fang Wang, Pattern Recognition: The Journal of the Pattern Recognition Society . 2014,第7期

机译：基于水平集和区域增长的视网膜血管分割
4. Segmentation of low-grade gliomas based on the growing region and level sets techniques [C] . Zaouche Rahima, Belaid Ahror, Solaiman Basel, International Conference on Advanced Technologies for Signal and Image Processing . 2018

机译：基于越来越多的地区和水平集技术的低级胶质瘤的分割
5. IMAGE SEGMENTATION WITH LOCAL FEEDBACK AT LOW- AND HIGH-LEVEL PROCESSING (COMPUTER VISION, CONTOUR EXTRACTION, REGION GROWING, HANDWRITTEN NUMERAL RECOGNITION). [D] . CHEN, BOR-DONG. 1985

机译：在低水平和高水平处理（计算机视觉，轮廓提取，区域增长，手写数字识别）中具有局部反馈的图像分段。
6. Level Set Based Hippocampus Segmentation in MR Images with Improved Initialization Using Region Growing [O] . Xiaoliang Jiang, Zhaozhong Zhou, Xiaokang Ding, 2017

机译：MR图像中基于水平集的海马分割与区域增长的改进初始化
7. Level Set Based Hippocampus Segmentation in MR Images with Improved Initialization Using Region Growing [O] . Xiaoliang Jiang, Zhaozhong Zhou, Xiaokang Ding, 2017

机译：基于MR图像中的基于海马分段的基于海马分割，使用区域生长改进初始化

Segmentation of low-grade gliomas based on the growing region and level sets techniques

摘要

著录项

相似文献

相关主题

期刊订阅