基于深度学习的医学图像分类方法分析

Analysis of Medical Image Classification Methods Based on Deep Learning

阐述采用深度学习技术、卷积神经网络(CNN)和支持向量机(SVM),对数据库中样本进行分类。通过CNN自动提取特征,利用粒子群优化算法优化SVM参数,实验结果显示模型的有效性。

This paper expounds the use of deep learning techniques,convolutional neural networks(CNN),and support vector machines(SVM)to classify samples in a database.By using CNN to automatically extract features and particle swarm optimization algorithm to optimize SvM parameters,the experimental results showthe effectiveness of the model.