应用图象分析技术测定57例乳腺癌细胞核形态参数，观察它们在不同临床病理状况下与预后的关系。
The prognostic value of morphometric parameters in 57 patients with breast carcinoma of different clinical pathological features was studied.
针对MAP法提出了具体算法和参数估计方法。并提出应用图象分割法来提高计算机复原速度，节省存储空间。
We derive the algorithm and parameters estimate method for the MAP restoration, and propose the image sectioning to speed up the restoration and save memory space.
在图象处理算法中，应用图象全局二值化方法、字符“有效行”特征的提取和双BP神经网络，对手写体字符的识别取得了良好的效果。
With the way of binarization by globe threshold, the extracting mathod of "effective-rows" feature of handwriting numerals and recognition mathod of two parallel BP networks, good result is acquired.
应用推荐