[Research progress in medical imaging based on deep learning of neural network].

The development of computer hardware allows rapid accumulation of medical imaging data. Deep learning has shown great potential in medical imaging data analysis and establish a new area of machine learning. The commonly used deep learning models were firstly introduced in the paper, and then, summarized with the application of deep learning in the detection, classification, diagnosis, segmentation, identification of medical imaging. The application of deep learning in oral and maxillofacial radiology and other discipline of stomatology was proposed. At the end, the paper discussed the problems of deep learning in medical imaging research.计算机硬件的发展让影像学数据得以迅速积累，深度学习作为机器学习的新兴内容，在影像学数据分析方面表现出较大潜力。本综述首先介绍了基于神经网络的深度学习发展及内容；然后分别从检测分类与诊断、图像分割、识别与标记等研究方向具体介绍深度学习研究进展及在口腔颌面医学影像中的应用；最后对深度学习在医学影像研究中存在的问题予以讨论。.