机构

• 计算技术研究所 [2]
• 地质与地球物理研究所 [1]
• 长春光学精密机械与物... [1]
• 高能物理研究所 [1]
• 自动化研究所 [1]

采集方式

• OAI收割 [6]

内容类型

• 期刊论文 [5]
• 会议论文 [1]

发表日期

• 2024 [1]
• 2021 [1]
• 2018 [1]
• 2015 [1]
• 2013 [1]
• 2011 [1]
• 更多

学科主题

筛选

浏览/检索结果: 共6条，第1-6条 帮助 条数/页： 5101520253035404550556065707580859095100 排序方式： 请选择题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序作者升序作者降序 MFDiff: multiscale feature diffusion model for segmentation of 3D intracranial aneurysm from CT images 期刊论文  OAI收割 PATTERN ANALYSIS AND APPLICATIONS, 2024, 卷号: 27, 期号: 2, 页码: 13 作者:  Pei, Xinyu;  Ren, Yande;  Tang, Yueshan;  Wang, Yuanquan;  Zhang, Lei   |  收藏  |  浏览/下载：27/0  |  提交时间：2024/12/06 Diffusion model  Swin transformer  CT  Intracranial aneurysm  Image segmentation   Does non-COVID-19 lung lesion help? investigating transferability in COVID-19 CT image segmentation 期刊论文  OAI收割 COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2021, 卷号: 202, 页码: 10 作者:  Wang, Yixin;  Zhang, Yao;  Liu, Yang;  Tian, Jiang;  Zhong, Cheng   |  收藏  |  浏览/下载：58/0  |  提交时间：2021/12/01 COVID-19  CT image  Segmentation  Transfer learning   Regularization and optimization methods for micro pore structure analysis of shale based on neural networks 期刊论文  OAI收割 ACTA PETROLOGICA SINICA, 2018, 卷号: 34, 期号: 2, 页码: 281-288 作者:  Wang YanFei;  Zou AnQi   |  收藏  |  浏览/下载：46/0  |  提交时间：2018/09/29 Shale Micropore Structure  Ct Image Segmentation  Neural Network Computing  Optimization And Regularization   A porosity calculation method based on CT images and its application 期刊论文  OAI收割 JOURNAL OF HYDRAULIC ENGINEERING, 2015, 卷号: 46, 期号: 46, 页码: 357-365 作者:  Wang Y(王宇);  Wang;  Yu;  Que JM(阙介民);  Li 收藏  |  浏览/下载：74/0  |  提交时间：2016/04/18 Conventional methods  CT Image  Deformation and failures  Gray-level  Porosity calculations  Segmentation methods  Threshold segmentation  X-ray computed tomography   Automated delineation of lung tumors from CT images using a single click ensemble segmentation approach 期刊论文  OAI收割 PATTERN RECOGNITION, 2013, 卷号: 46, 期号: 3, 页码: 692-702 作者:  Gu, Yuhua;  Kumar, Virendra;  Hall, Lawrence O.;  Goldgof, Dmitry B.;  Li, Ching-Yen 收藏  |  浏览/下载：51/0  |  提交时间：2015/08/12 Image features  Delineation  Lung tumor  Lesion  CT  Region growing  Ensemble segmentation   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：62/0  |  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.