人工智能在肺结节检测与诊断中的应用及发展

摘要/Abstract

摘要： 肺癌病死率很高, 通过胸部 CT 检测肺结节对肺癌的早期诊断、治疗意义重大。计算机辅助检测与诊断系统可以帮助放射科医师减少工作量并提高诊断准确率。而随着深度学习的发展, 基于深度学习的计算机辅助检测与诊断系统也日益发展。本文就人工智能在肺结节检测与诊断中的应用及发展进行综述。

关键词: 人工智能, 肺结节, 深度学习, 卷积神经网络, 计算机辅助诊断

Abstract: The mortality rate of lung cancer is very high. The detection of lung nodules by chest CT is of great significance for the early diagnosis and treatment of lung cancer. Computer-aided detection and diagnostic systems can help radiologists reduce workload and improve diagnostic accuracy. With the development of deep learning, computer-aided detection and diagnosis systems based on deep learning are also growing. This article reviews the application and development of artificial intelligence in the detection and diagnosis of pulmonary nodules.

Key words: Artificial intelligence, Pulmonary nodules, Deep learning, Convolutional neural network, Computer-aided detection

李欣菱, 王颖. 人工智能在肺结节检测与诊断中的应用及发展[J]. 新发传染病电子杂志, 2019, 4(3): 185-189.

LI xin-ling, WANG Ying. Application and development of artificial intelligence in detection and diagnosis of pulmonary nodules[J]. Electronic Journal of Emerging Infectious Diseases, 2019, 4(3): 185-189.

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