人工智能技术在医学影像中的应用讨论

被引：13

作者：

萧毅 ^{[1
]}

夏晨 ^{[2
]}

张荣国 ^{[2
]}

刘士远 ^{[1
]}

机构：

[1] 海军军医大学(第二军医大学)长征医院影像科

[2] 推想科技先进研究院

来源：

第二军医大学学报 | 2018年 / 39卷 / 08期

基金：

国家重点研发计划;

关键词：

人工智能; 医学影像; 深度神经网络; 发现异常; 量化测量; 鉴别诊断;

D O I：

10.16781/j.0258-879x.2018.08.0813

中图分类号：

TP18 [人工智能理论]; R445 [影像诊断学];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ; 100207 ;

摘要：

深度神经网络是新一代人工智能技术,其在自然语言处理、学习能力、计算机视觉上将机器的认知能力推向了新的高度。目前,深度神经网络在医学影像中的应用主要集中在发现异常、量化测量和鉴别诊断3个方面,基于深度神经网络的医学影像研究已涉及放射影像、病理图像、超声影像、内镜影像等多个领域。深度神经网络在一些任务场景中已展现出与医师相当甚至超越医师的表现。在人工智能技术高速发展的大环境下,医师群体应客观冷静地看待技术、科学严谨地评价技术、积极开放地参与技术的提升与应用,成为技术的驾驭者,走向人工智能技术辅助下的医疗服务未来。

引用

页码：813 / 818

页数：6

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