人工智能在医学影像CAD中的应用

被引：23

作者：

潘亚玲

王晗琦

陆勇

机构：

[1] 上海交通大学医学院附属瑞金医院

来源：

国际医学放射学杂志 | 2019年 / 42卷 / 01期

关键词：

人工智能; 机器学习; 深度学习; 卷积神经网络; 计算机辅助诊断;

D O I：

10.19300/j.2019.z6565zt

中图分类号：

R311 [医用数学]; TP18 [人工智能理论];

学科分类号：

1001 ; 081104 ; 0812 ; 0835 ; 1405 ;

摘要：

深度学习是目前人工智能领域备受关注和极具应用前景的机器学习算法,有望革新传统计算机辅助诊断(CAD)系统,在精准影像诊断中发挥重要作用。就人工智能、机器学习、深度学习、卷积神经网络、迁移学习的基本概念,以及基于深度学习的CAD系统在肺、乳腺、心脏、颅脑、肝脏、前列腺、骨骼的影像及病理学中的研究现状予以综述。

引用

页码：3 / 7

页数：5

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