Understanding artificial intelligence based radiology studies: What is overfitting?

被引：124
|
作者：
Mutasa, Simukayi [1 ]
Sun, Shawn [1 ]
Ha, Richard [1 ]
机构：
[1] Columbia Univ, New York Presbyterian Hosp, Med Ctr, 622 West 168th St,PB-1-301, New York, NY 10032 USA
来源：
CLINICAL IMAGING | 2020年 / 65卷 / 65期
关键词：
Overfitting; Artificial intelligence; Machine learning; NEURAL-NETWORKS;
D O I：
10.1016/j.clinimag.2020.04.025
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：
Artificial intelligence (AI) is a broad umbrella term used to encompass a wide variety of subfields dedicated to creating algorithms to perform tasks that mimic human intelligence. As AI development grows closer to clinical integration, radiologists will need to become familiar with the principles of artificial intelligence to properly evaluate and use this powerful tool. This series aims to explain certain basic concepts of artificial intelligence, and their applications in medical imaging starting with a concept of overfitting.
引用
收藏
页码：96 / 99
页数：4
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