In Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology, head, and neck surgery
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.
Fu Jia, Li Lijuan, Yan Yan, Ma Furong
deep learning, electronic laryngoscope, image recognition, laryngeal leukoplakia