深度学习在生物医学数据中的应用

Application of Deep Learning in Biomedical Data

介绍深度学习方法常用模型结构,包括卷积神经网络和循环神经网络模型,总结目前生物医学数据分析中深度学习的最新应用情况,分析其在数据处理、模型构建和训练方法等方面共有问题的解决方法,指出深度学习方法应用于生物医学数据分析中仍需解决的问题。

The paper introuces structure of frequently-used models of deep learning method, including models of Convolutional Neural Network（CNN） and Recurrent Neural Network（RNN）, summarizes the latest application of deep learning in biomedical data analysis at the moment, analyzes its solution to common problems in data processing,model building and training method,and points out the problems to be solved when deep learning is applied to biomedical data analysis.