利用无线电频率或微波技术进行乳腺癌检测已经被美国、加拿大和英国的研究人员们所证实。
Using radio frequency or microwave technology for breast cancer detection has been proven by researchers in the US, Canada and UK.
利用微波吸收介电谱检测技术测得了还原增感立方体氯化银微晶光电子衰减随增感条件的变化规律。
The decay rule of photoelectrons in sensitized cubic AgCl microcrystal is obtained by microwave absorption dielectric spectrum detection technique.
基于雷达的微波成像技术已经被提出了早期乳腺癌检测。
Radar-based microwave imaging techniques have been proposed for early stage breast cancer detection.
介绍了几种浆液浓度检测的仪器和方法，对利用微波技术进行浆液浓度检测及其应用前景作了重点论述。
Several apparatus and methods for monitoring size concentration are introduced, where using microwave technology to measure size concentration and its prospects are underlined.
基于复合材料媒质间的电磁传播特性，提出了微波无损检测技术应用于复合材料检测时的局限性和不足。
According to the spreading characteristic of electromagnetic wave, the limitation and deficiency of microwave measuring in composite material were pointed out.
利用声学扫描检测技术，提示了热烧毁的微波功率器件氧化铍陶瓷基片与底座金属散热片的焊接不良现象；
Burn-out of a microwave power device due to the poor bonding between beryllium oxide and base metal sink was investigated using Sound Scanning technique.
对红外热成像检测、激光全息检测和微波检测新技术在焊接裂纹检测中的应用进行了展望。
Some new technologies such as infrared thermal imaging, laser holography and microwave testing were prospected in the testing of weld crack.
利用微波技术快速测定氧化铝物料的水分，同时对不同含水量的检测结果进行了分析和讨论。
A novel method for quick measurement of moisture in aluminum oxide by means of microwave technique was investigated, while the diverse results of moisture content were analyzed and discussed.
对微波谐振参数的检测一直以来是微波应用技术中最基本也是最重要的技术之一。
The detection of microwave resonance parameters is one of the most basic and important applications in microwave technology filed.
方法采用微波免疫组织化学染色（SP法）和原位分子杂交技术检测LN肾脏RANTES的表达，并进一步分析其与LN活动指数、肾脏病理和功能损害的关系。
Methods A microwave based immunohistochemistry (SP) and in situ hybridization were used to detect the expression of RANTES and renal injures in LN and normal control.
本文选取北京市北三环安装有微波检测器的路段作为实验路段，并利用视频识别技术采集路段的旅行时间数据对算法进行验证。
Video recognition technology is introduced into obtaining the travel time data, and this data is used to verify the algorithm. The results show that the error of the algorithm is around 10 percent.
本文选取北京市北三环安装有微波检测器的路段作为实验路段，并利用视频识别技术采集路段的旅行时间数据对算法进行验证。
Video recognition technology is introduced into obtaining the travel time data, and this data is used to verify the algorithm. The results show that the error of the algorithm is around 10 percent.
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