摘要
人工智能逐渐应用于医学图像诊断,显现出良好的效率和诊断准确率。卷积神经网络(CNN)是人工智能领域的一项突破,在某些方面已可与放射科医师相媲美,展现出巨大的临床应用前景。本文就CNN在骨骼肌肉放射学中的研究进展进行综述。
Artificial intelligence has been gradually applied in medical image diagnosis,showing good efficiency and diagnostic accuracy.As a recent innovation in artificial intelligence,convolutional neural network(CNN)displayed the ability to interpret medical images with accuracy at or near that of skilled clinicians for some applications,indicating overwhelming clinical application prospects.The research progresses of CNN in musculoskeletal radiology were reviewed in this article.
作者
王春杰
袁慧书
WANG Chunjie;YUAN Huishu(Department of Radiology,Peking University Third Hospital,Beijing 100191,China)
出处
《中国医学影像技术》
CSCD
北大核心
2020年第9期1375-1378,共4页
Chinese Journal of Medical Imaging Technology
基金
国家自然科学基金(81871326)。
关键词
骨骼
肌肉
人工智能
神经网络
计算机
诊断显像
skeleton
muscles
artificial intelligence
neural networks,computer
diagnostic imaging