Analysis of Medical Image Classification Methods Based on Deep Learning
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.
deep learningmedical imagingclassification methods
万方数据
维普
