BP神经网络在骨髓细胞分类中的应用  

Classification of bone marrow cell nuclei with BP neural networks

作　　者：张培培[1] 高仕军[1] 李东[1] 

机构地区：[1]华北煤炭医学院卫生事业管理系,河北唐山063000

出　　处：《中国医学装备》2010年第7期62-66,共5页China Medical Equipment

摘　　要：人工神经网络是人工智能的重要分支,模式分类是其主要应用之一。设计一个三层BP神经网络,利用从骨髓细胞图像提取出来的训练样本集,对其进行训练,而后进行骨髓细胞的分类,实验证明,该分类器对红系细胞和粒系细胞具有很好的分类效果。Artificial neural network is an important branch of artificial intelligence. Pattern classification is one of its main applications. This paper designed a three-layer BP neural network using the training samples set extracted from the bone marrow cells images. After training, the bone marrow cells were classified. Experimental results show that the classifier is suitable for classification of red blood cell series and granulocytic series.

关 键 词：人工智能 骨髓细胞图像 模式分类 BP神经网络 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]