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 show the effectiveness of the model.
关键词
深度学习/医学图像/分类方法
Key words
deep learning/medical imaging/classification methods
维普
万方数据