摘要
人工智能(AI)在胸部CT影像中准确识别并测量肺结节大小方面有显著优势,可通过机器学习、深度学习等技术以及不同算法对肺结节进行识别、分类和良恶性评价。该文总结AI在肺结节影像学诊断方面的技术方法和临床应用,以期为AI在影像诊断中的应用提供参考。
Artificial intelligence(AI)has significant advantages in accurately identifying lung nodules and measuring the size of lung nodules in chest CT images.Lung nodules can be identified,classified,and evaluated as benign or malignant by machine learning,deep learning,and other techniques as well as different algorithms.This article summarizes the technical methods and clinical applications of AI in the imaging diagnosis of lung nodules,aiming to provide a reference for the application of AI in imaging diagnosis.
作者
周福兴
史万旭
张永娣
牛树国
Zhou Fuxing;Shi Wanxu;Zhang Yongdi;Niu Shuguo(Department of Radiology,Wuwei Hospital of Traditional Chinese Medicine,Wuwei 733000,Gansu Province,China)
出处
《中国社区医师》
2024年第31期8-10,共3页
Chinese Community Doctors
基金
武威市科技计划项目(编号:WW2101168)。
关键词
肺结节
人工智能
肺癌
深度学习
Lung nodule
Artificial intelligence
Lung cancer
Deep learning