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

VernacularTitle: 基于神经网络的深度学习在医学影像中的研究进展
Author: Chuangchuang MU ¹ ; Gang LI
Author Information

1. Department of Oral and Maxillofacial Radiology, Peking University School and Hospital of Stomatology & National Clinical Research Center for Oral Diseases & National Engineering Laboratory for Digital and Material Technology of Stomatology & Beijing Key Laboratory of Digital Stomatology, Beijing 100081, China
Publication Type:Review
Keywords: Oral medicine; Neural networks (computer); Deep learning; Medical imaging
From: Chinese Journal of Stomatology 2019;54(7):492-497
CountryChina
Language:Chinese
Abstract: 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.