机构

• 合肥物质科学研究院 [3]
• 自动化研究所 [2]
• 长春光学精密机械与物... [1]
• 西安光学精密机械研究... [1]

采集方式

• OAI收割 [7]

内容类型

• 期刊论文 [4]
• 会议论文 [2]
• 学位论文 [1]

发表日期

• 2017 [1]
• 2016 [2]
• 2014 [1]
• 2013 [1]
• 2012 [1]
• 2011 [1]
• 更多

学科主题

• Computer S... [1]
• 电子、通信与自动控制... [1]

筛选

浏览/检索结果: 共7条，第1-7条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序提交时间升序提交时间降序作者升序作者降序发表日期升序发表日期降序 A Novel ACM for Segmentation of Medical Image with Intensity Inhomogeneity 会议论文  OAI收割 N China Univ Technol, Beijing, PEOPLES R CHINA, 2017-09-08 作者:  Niu, Yuefeng;  Cao, Jianzhong;  Liu, Liqiang;  Guo, Huinan;  Niu, YF (reprint author), Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian, Shaanxi, Peoples R China.   |  收藏  |  浏览/下载：31/0  |  提交时间：2018/03/23 Image Segmentation  Intensity Inhomogeneity  Level Set  Local Entropy   An efficient level set method based on multi-scale image segmentation and hermite differential operator 期刊论文  OAI收割 NEUROCOMPUTING, 2016, 卷号: 188, 期号: 无, 页码: 90-101 作者:  Wang, Xiao-Feng;  Min, Hai;  Zou, Le;  Zhang, Yi-Gang;  Tang, Yuan-Yan 收藏  |  浏览/下载：15/0  |  提交时间：2017/11/10 Hermite Differential Operator  Image Segmentation  Intensity Inhomogeneity  Level Set  Multi-scale   A Novel Local Regional Model Based on Three-Layer Structure 期刊论文  OAI收割 © Springer International Publishing Switzerland, 2014, 期号: LNBI 8590, 页码: 72-79 作者:  Hai Min;  Xiao-Feng Wang 收藏  |  浏览/下载：23/0  |  提交时间：2016/01/12 Local Information  Level Set  Intensity Inhomogeneity  Three-layer Structure   Adaptive segmentation of magnetic resonance images with intensity inhomogeneity using level set method 期刊论文  OAI收割 MAGNETIC RESONANCE IMAGING, 2013, 卷号: 31, 期号: 4, 页码: 567-574 作者:  Liu, Lixiong;  Zhang, Qi;  Wu, Min;  Li, Wu;  Shang, Fei 收藏  |  浏览/下载：22/0  |  提交时间：2015/08/12 Image segmentation  Magnetic resonance  Intensity inhomogeneity  Level set   基于主动轮廓的图像分割理论与方法研究 学位论文  OAI收割 工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2012 作者:  杨名宇 收藏  |  浏览/下载：89/0  |  提交时间：2015/09/02 图像分割  主动轮廓  水平集方法  灰度分布不均匀  C-V模型  Image Segmentation  Active Contours  Level Set Method  Intensity Inhomogeneity  C-V Model   MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文  OAI收割 2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China 作者:  Zhang T.;  Gao X. 收藏  |  浏览/下载：47/0  |  提交时间：2013/03/25 Accurate surgical planning and guidance plays an important role in successful implementation of image guided intervention. In interventional lung cancer diagnosis and treatments  precise segmentation of airway trees from lung CT images provides crucial visualization for preoperative planning and intraoperative guidance to avoid major trachea injury. While 3D region growing can segment main the parts of an airway tree (trachea  left and right main bronchus  as well as bronchi)  the method fails at bronchiole segmentation and is not robust. Mathematical morphology is an anatomical detective. In this paper  we propose a morphological gradient based region growing (MGRG) algorithm to overcome the intensity inhomogeneity  and improve the robustness of 3D region growing on extraction of bronchioles. The MGRG algorithm is validated using lung CT images  and results show that it is able to segment bronchioles  and outperforms the traditional region growing method on airway tree segmentation. 2011 IEEE.