1) blood cell recognition
血细胞识别
1.
In this paper, we present a blood cell recognition method based on wavelet packet analysis and the neural network.
根据血细胞信号的特点,提出了一种基于小波包分析和神经网络的血细胞识别方法。
2) cell recognition
细胞识别
1.
The function of lectins includes cell recognition,toxicity determining factor, plant insect resistance ,rhizobia bacteria recognizing factor and so on.
凝集素的作用涉及细胞识别、微生物毒力决定子、植物抗虫、根瘤菌识别因子等诸多方面。
2.
Since the moment invariants are highly concentrated image features that are shifting,scaling,rotation and intensity invariant,a novel moment,radial harmonic Fourier moment,has been chosen to be image feature for tumor cell recognition.
由于矩不变量具有高度浓缩的平移、尺度、旋转、灰度多畸不变图像特征,本研究选择圆谐-傅立叶正交矩作为肿瘤细胞的特征表征量,使用最小加权平均距离方法进行分类,利用计算机识别系统,对痰、尿、胸腹水细胞学涂片进行了细胞识别实验,获得了较好的识别结果,具有临床应用潜力。
3) Extracelluar pathway
细胞外识别
4) Intracellular pathway
细胞内识别
5) leukocyte recognition
白细胞识别
1.
Research on leukocyte recognition system based on knowledge;
基于知识的白细胞识别系统研究
6) cancer cell recognition
癌细胞识别
1.
This paper introduces the technical solution of cell colored image processing,that can be used to cancer cell recognition,finding of the correct recognition sort rule,and then using computer image processing and pattern recognition techniques fulfils the analysis and recognition of microimage.
介绍的细胞彩色图象处理的技术方案 ,可用于癌细胞识别 ,找出正确的识别分类的规则 ,从而利用计算机图象处理和模式识别技术完成显微图象的分析和识别 ,阐述了其关键技术——图象分
补充资料：血液有形成分各种类型的血细胞虚线指示中间类型的细胞。
李瑞端绘
[图]
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条