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

被引：182

作者：

Fujita, Hiroshi ^{[1
]}

机构：

[1] Gifu Univ, Dept Elect Elect & Comp Engn, Fac Engn, 1-1 Yanagido, Gifu, Gifu 5011194, Japan

来源：

RADIOLOGICAL PHYSICS AND TECHNOLOGY | 2020年 / 13卷 / 01期

基金：

日本学术振兴会;

关键词：

Artificial intelligence (AI); Computer-aided detection; diagnosis (CAD); Medical image recognition; Machine learning; Deep learning; Convolutional neural network; HEALTH-CARE PROFESSIONALS; SCREENING MAMMOGRAPHY; DEEP; PERFORMANCE; CLASSIFICATION; IMAGES;

D O I：

10.1007/s12194-019-00552-4

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

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.

引用

页码：6 / 19

页数：14

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