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浏览/检索结果: 共18条，第1-10条 帮助

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Radiosensitizing Effect of Gadolinium Oxide Nanocrystals in NSCLC Cells Under Carbon Ion Irradiation 期刊论文  OAI收割
NANOSCALE RESEARCH LETTERS, 2019, 卷号: 14, 期号: 1
作者:  Li, Feifei;  Li, Zihou;  Jin, Xiaodong;  Liu, Yan;  Li, Ping
  |  收藏  |  浏览/下载：85/0  |  提交时间：2019/12/18
Ultra-small gadolinium oxide nanocrystal sensitization of non-small-cell lung cancer cells toward X-ray irradiation by promoting cytostatic autophagy 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF NANOMEDICINE, 2019, 卷号: 14, 页码: 2415-2431
作者:  Li, Feifei;  Li, Zihou;  Jin, Xiaodong;  Liu, Yan
  |  收藏  |  浏览/下载：77/0  |  提交时间：2019/12/18
Collimated gamma rays from laser wakefield accelerated electrons 期刊论文  OAI收割
MATTER AND RADIATION AT EXTREMES, 2018, 期号:  4, 页码:  188-196
作者:  Zhang, Jie;  Li, Yifei;  Huang, Kai;  Li, Dazhang;  Li DZ(李大章)
  |  收藏  |  浏览/下载：45/0  |  提交时间：2019/10/10
Correction of temperature measurement accuracy affected by internal temperature rise in uncooled thermal imager 期刊论文  OAI收割
Chinese Optics, 2018, 卷号: 11, 期号: 4, 页码: 669-676
作者:  Zhang, Yan-Chao;  Gao, Ce;  Liu, Jian-Zhuo;  Wang, Bo;  Yang, Shuai
  |  收藏  |  浏览/下载：21/0  |  提交时间：2019/09/17
The Radiation Enhancement of 15 nm Citrate-Capped Gold Nanoparticles Exposed to 70 keV/mu m Carbon Ions 期刊论文  OAI收割
JOURNAL OF NANOSCIENCE AND NANOTECHNOLOGY, 2016, 卷号: 16, 页码: 2365-2370
作者:  Liu, Yan;  Liu, Xi;  Jin, Xiaodong;  He, Pengbo;  Zheng, Xiaogang
  |  收藏  |  浏览/下载：32/0  |  提交时间：2018/05/31
The synergistic radiosensitizing effect of tirapazamine-conjugated gold nanoparticles on human hepatoma HepG2 cells under X-ray irradiation 期刊论文  OAI收割
INTERNATIONAL JOURNAL OF NANOMEDICINE, 2016, 卷号: 11, 页码: 3517-3530
作者:  Liu, Xi;  Liu, Yan;  Zhang, Pengcheng;  Jin, Xiaodong;  Zheng, Xiaogang
  |  收藏  |  浏览/下载：16/0  |  提交时间：2018/05/31
The synergistic radiosensitizing effect of tirapazamine-conjugated gold nanoparticles on human hepatoma hepg2 cells under x-ray irradiation 期刊论文  iSwitch采集
International journal of nanomedicine, 2016, 卷号: 11, 页码: 3517-3530
作者:  Liu, Xi;  Liu, Yan;  Zhang, Pengcheng;  Jin, Xiaodong;  Zheng, Xiaogang
收藏  |  浏览/下载：41/0  |  提交时间：2019/05/09
The application of adaptive enhancement algorithm based on gray entropy in mammary gland CR image (EI CONFERENCE) 会议论文  OAI收割
2012 2nd International Conference on Consumer Electronics, Communications and Networks, CECNet 2012, April 21, 2012 - April 23, 2012, Three Gorges, China
Zhang M.-H.; Zhang Y.-Y.
收藏  |  浏览/下载：34/0  |  提交时间：2013/03/25
Mammary gland is composed entirely of soft tissue with approximate density  therefore mammary gland CR medicine radiation image presents a low contrast  and slight difference changes may be a manifestation of tumor  so it is necessary to enhance mammary gland CR image to improve its visual quality in order to meet the demands of doctor's clinical diagnosis. However the general enhancement algorithms over enhance the contrast and noise  due to image details lost  aiming at the defects  a mammary gland CR medicine image adaptive enhancement arithmetic based on image gray entropy is put forward. The arithmetic adapts dizzy image to magnify selected spatial frequency response in order to enhance the edge details of mammary gland CR images. It can adjust weighted factor K according to image gray characteristics namely pixel gray entropy. Experiments results demonstrate that mammary gland CR image enhanced by the algorithm has abundant details and high signal-to-noise ratio  moreover  CR image enhanced has good visual effect. So the method is effective and fit for enhancing CR medical radiation image edge details. 2012 IEEE.  
Application of adaptive enhancement means in head and neck CR image (EI CONFERENCE) 会议论文  OAI收割
2012 3rd International Conference on Information Technology for Manufacturing Systems, ITMS 2012, September 8, 2012 - September 9, 2012, Qingdao, China
Zhang M.-H.; Zhang Y.-Y.
收藏  |  浏览/下载：37/0  |  提交时间：2013/03/25
Digital CR of head and neck overcomes the disadvantage of regular X-ray radiography  which can not reveal bone and soft tissue position deficiency in one exposing  and reduces the Xray radiation dose. Meanwhile  various factors cause the decline of image quality  and images must be enhanced in order to meet demands of doctor's clinical diagnosis. The general enhancement algorithms don't consider body's structure differences and density characteristics. A new adaptive CR enhancement algorithm was proposed in this article  and head and neck CR images were processed with this method and compared with linear unsharp masking method. The experiment proves that the details of CR image enhanced were abundant and enhanced CR image had good visual effect  SNR was high  as well as detail variance /background variance (DV/BV) indicating that this algorithm is suitable for head and neck CR medical images. (2012) Trans Tech Publications  Switzerland.  
The research of digltal CR medicine image adapitive enhancement method (EI CONFERENCE) 会议论文  OAI收割
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：65/0  |  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.