中国医疗设备2016，Vol.31Issue(12)：4-9,6.DOI:10.3969/j.issn.1674-1633.2016.12.002
深度学习在神经影像中的应用研究
Study on the Application of Deep Learning in Neuroimaging
摘要
Abstract
Deep learning is an important branch of a broader family of machine learning methods which atempt to learn useful features from data by using a computational model with multilayer neural networks. A deep learning network can form more abstract high-layer features through combination of the lower layer features to ifnd the complex intrinsic characteristics of the data. Convolutional neural network is one of most researched deep networks because of its excelent performance in processing images. This paper ifrstly introduced the structural characteristics and training methods of deep learning networks, folowed by the convolutional neural network, and ifnaly discussed the application and development trend of deep learning network in the ifeld of neuroimaging.关键词
深度学习/卷积神经网络/神经影像/多层感知器/深度神经网络Key words
deep learning/convolutional neural network/neuroimaging/multilayer perceptron/deep neural network分类
医药卫生引用本文复制引用
田苗,林岚,张柏雯,吴水才..深度学习在神经影像中的应用研究[J].中国医疗设备,2016,31(12):4-9,6.基金项目
国家科技支撑计划课题（2015BAI02B03）；北京工业大学研究生科技基金（ykj-2016-00009）；北京市自然科学基金资助项目（7143171）。 （）
