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PDGF-B conjugating mesoporous IO/GdO nanocomposites for accurate diagnosis of orthotopic prostatic cancer through T-1-T-2 dual-modal MRI contrast enhancement 期刊论文
MATERIALS TODAY ADVANCES, 2022, 卷号: 16
作者:  Li, Qingdong;  Xiao, Jianmin;  Zhang, Caiyun;  Wang, Peng;  Li, Wenling
收藏  |  浏览/下载：21/0  |  提交时间：2022/12/22
UPLC/Q-TOF-MS based plasma metabolomics and clinical characteristics of polycystic ovarian syndrome 期刊论文
2019, 卷号: 19, 期号: 1, 页码: 280-292
作者:  Fan, Xuemei;  Jiang, Jianfa;  Huang, Zhiqiang;  Gong, Jumei;  Wang, Yiming
收藏  |  浏览/下载：11/0  |  提交时间：2020/01/03
Intercombination transition rates in N+ 期刊论文
PHYSICAL REVIEW A, 2018, 卷号: 97, 期号: 1
作者:  Shen, Xiaozhi;  Liu, Juan;  Sang, Cuicui;  Jonsson, Per
收藏  |  浏览/下载：25/0  |  提交时间：2019/11/15
Nanomedicines guided nanoimaging probes and nanotherapeutics for early detection of lung cancer and abolishing pulmonary metastasis: Critical appraisal of newer developments and challenges to clinical transition 期刊论文
JOURNAL OF CONTROLLED RELEASE, 2018, 卷号: 292
作者:  Li, Jianqiang;  Thu, Hnin Ei;  Hussain, Zahid;  Gao, Xiaoling;  Guo, Lihua
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/05
Preserving-Texture Generative Adversarial Networks for Fast Multi-Weighted MRI 期刊论文
IEEE ACCESS, 2018, 卷号: 6, 页码: 71048-71059
作者:  Chen, Tiao[1];  Song, Xuehua[2];  Wang, Changda[3]
收藏  |  浏览/下载：4/0  |  提交时间：2019/12/24
Intercombination transition rates in N+ 期刊论文
PHYSICAL REVIEW A, 2018, 卷号: 97
作者:  Shen, Xiaozhi;  Liu, Juan;  Sang, Cuicui;  Jonsson, Per
收藏  |  浏览/下载：3/0  |  提交时间：2019/12/30
Adaptive signal decomposition based on wavelet ridge and its application. 期刊论文
Signal Processing, 2016, 卷号: Vol.120, 页码: 480-494
作者:  Yi Qin;  Baoping Tang;  Yongfang Mao
收藏  |  浏览/下载：9/0  |  提交时间：2019/03/01
The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文
4th International Conference on Mechanical and Electrical Technology, ICMET 2012, July 24, 2012 - July 26, 2012, Kuala Lumpur, Malaysia
Ming-Hui Z.; Yao-Yu Z.
收藏  |  浏览/下载：52/0  |  提交时间：2013/03/25
Digital CR medicine radiation image is in doctor's favor and has became medicine imaging technology new hot spot because of its high gray contrast  powerful computer disposal function  little radiation dosage  non-film diagnosis  different area consultation. But degradation of digital X-ray medical image such as low contrast and blurring during radiographic imaging  caused by complexity of body tissue and effects of X-ray scattering and electrical noise etc.  can worsen the results of analysis and diagnosis. So it is usually needed that CR medicine image is enhanced to improve its vision quality  and easy to doctor's more accurate diagnosis. The general enhancement algorithms over enhancing the contrast and lose image details  aiming at the defects  an enhancement algorithm for CR image is proposed based on the ratio of deviation to mean of domain. The arithmetic enhance CR image edge details by adjusting factor K based on the ratio of deviation to mean of domain of CR image. Experiment results demonstrate that the algorithm enhances CR image detail and CR image enhanced has good visual effect  the adaptive enhancement method is fit for CR medicine image. (2012) Trans Tech Publications  Switzerland.  
MGRG-morphological gradient based 3D region growing algorithm for airway tree segmentation in image guided intervention therapy (EI CONFERENCE) 会议论文
2nd International Symposium on Bioelectronics and Bioinformatics, ISBB 2011, November 3, 2011 - November 5, 2011, Suzhou, China
Gao D.; Gao X.; Ni C.; Zhang T.
收藏  |  浏览/下载：35/0  |  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.  
Influence of Na~+ on the synthesis of silicalite-1 catalysts for use in the vapor phase Beckmann rearrangement of cyclohexanone oxime 期刊论文
Frontiers of Chemical Science and Engineering, 2011, 卷号: 第5卷, 页码: P401-408
作者:  Li Xue1;  Zhang Xuening2;  Li Xiaodong2;  Chang Jin1;  *
收藏  |  浏览/下载：8/0  |  提交时间：2019/11/26

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