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基于人工智能的计算机辅助诊断(AI-CAD):最新综述,先睹为快。

AI-based computer-aided diagnosis (AI-CAD): the latest review to read first.

作者信息

Fujita Hiroshi

机构信息

Department of Electrical, Electronic and Computer Engineering, Faculty of Engineering, Gifu University, 1-1, Yanagido, Gifu City, Gifu, 501-1194, Japan.

出版信息

Radiol Phys Technol. 2020 Mar;13(1):6-19. doi: 10.1007/s12194-019-00552-4. Epub 2020 Jan 2.

DOI:10.1007/s12194-019-00552-4
PMID:31898014
Abstract

The third artificial intelligence (AI) boom is coming, and there is an inkling that the speed of its evolution is quickly increasing. In games like chess, shogi, and go, AI has already defeated human champions, and the fact that it is able to achieve autonomous driving is also being realized. Under these circumstances, AI has evolved and diversified at a remarkable pace in medical diagnosis, especially in diagnostic imaging. Therefore, this commentary focuses on AI in medical diagnostic imaging and explains the recent development trends and practical applications of computer-aided detection/diagnosis using artificial intelligence, especially deep learning technology, as well as some topics surrounding it.

摘要

第三次人工智能(AI)热潮即将来临,并且有迹象表明其进化速度正在迅速加快。在国际象棋、将棋和围棋等游戏中,AI已经击败了人类冠军,而且其能够实现自动驾驶这一事实也正在成为现实。在这种情况下,AI在医学诊断领域,尤其是在诊断成像方面,已经以惊人的速度发展并实现了多样化。因此,本评论聚焦于医学诊断成像中的AI,并解释了使用人工智能,特别是深度学习技术的计算机辅助检测/诊断的最新发展趋势和实际应用,以及与之相关的一些话题。

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