%0 Journal Article
%T [Application of deep learning assisted electronic laryngoscope in diagnosis of laryngeal leukoplakia].
%A Fu J
%A Li L
%A Yan Y
%A Ma F
%J Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi
%V 35
%N 5
%D May 2021
%M 34304477
暂无%R 10.13201/j.issn.2096-7993.2021.05.019
%X  In recent years, medical imaging technology and computer technology have made great progress. On the one hand, with the development and popularization of electronic laryngoscope, the image of electronic laryngoscope plays a very important role in the diagnosis of vocal cord lesions. On the other hand, deep learning algorithm，especially convolutional neural networkhas gradually become the first choice of medical image recognition since the foundation of deep learning algorithm. So far, deep learning algorithm has made great contributions in many disciplines. In this paper, the basic concept of deep learning, the current status of image recognition of vocal cord lesions, and the prospect of research based on deep learning in vocal cord image lesions recognition are reviewed.