PDF(Pubmed)
Abstract：
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.
摘要：
近年来,医学影像技术和计算机技术都取得了长足的进步。一方面,随着电子喉镜的发展和普及,电子喉镜图像在声带病变的诊断中起着非常重要的作用。另一方面,深度学习算法，尤其是卷积神经网络，自深度学习算法建立以来，逐渐成为医学图像识别的首选。到目前为止,深度学习算法在许多学科领域都做出了巨大的贡献。在本文中,深度学习的基本概念，声带病变图像识别的现状,并对基于深度学习的声带图像病变识别研究进行了展望。
