人工神经网络在血型分析中的应用

Blood Type Judgement with Artificial Neural Network

随着全自动血型分析系统的普遍应用,基于血型图片数据的血型判断算法变得尤为重要。传统的血型分析算法对采集的图片中的灰度值进行分析,参考试剂说明书进行各种反应强度的情况进行分辨而后判定。而在实际应用中,由于光线、机械运动等因素的影响,采集的图片情况复杂多样,传统的判别条件不能胜任这种情况,基于此提出人工神经网络在血型分析中的应用。

Since ordinary using of blood type auto judgement, algorithm based on photos to judge blood type becomes much more important. Referring to reagent specification, traditional methods analysis gray values of blood agglutination photos to get the final result of blood type. In actual application, factors of mechanical movement, lights change affect traditional methods of blood type judgement, artificial neural network works well in case of those factors. Puts forward application of artificial neural network to judge blood type.