基于深度卷积神经网络的红细胞识别算法研究

Research on red blood cell recognition algorithm based on deep convolutional neural network

针对深度研究的项目特点,文章对卷积神经网络结构的研究现状进行分析,总结卷积神经网络结构及优化算法。旨在通过对这些内容的分析,针对红细胞图像提取特征,设计群优化算法的卷积神经网络结构,以提高图像检测的科学性、准确性,展现深度卷积神经网络的识别算法技术的使用价值。

According to the characteristics of in-depth research projects, the research status of convolutional neural network structure is analyzed in this paper, and the structure and optimization algorithm of convolutional neural network are summarized. The purpose of this paper is to analyze the content and extract the features of the red blood cell image, and design the convolutional neural network structure of the group optimization algorithm to improve the scientificity and accuracy of image detection and show the value of the recognition algorithm technology of deep convolutional neural network.