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理解基于人工智能的放射学研究：什么是过拟合？

Understanding artificial intelligence based radiology studies: What is overfitting?

机构信息

Columbia University Medical Center, New York Presbyterian Hospital, 622 West 168th Street, PB-1-301, New York, NY 10032, United States of America.

出版信息

Clin Imaging. 2020 Sep;65:96-99. doi: 10.1016/j.clinimag.2020.04.025. Epub 2020 Apr 23.

DOI:10.1016/j.clinimag.2020.04.025
PMID:32387803
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8150901/
Abstract

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.

摘要

人工智能（AI）是一个广泛的术语，用于涵盖各种致力于创建算法以执行模拟人类智能任务的子领域。随着人工智能的发展越来越接近临床应用，放射科医生需要熟悉人工智能的原理，以便正确评估和使用这一强大工具。本系列旨在解释人工智能的某些基本概念及其在医学成像中的应用，首先是过拟合的概念。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa28/8150901/bc1948a3bb1b/nihms-1700870-f0005.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa28/8150901/bc1948a3bb1b/nihms-1700870-f0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa28/8150901/81b7bc30ca5a/nihms-1700870-f0001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa28/8150901/6b65c70b7382/nihms-1700870-f0003.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/aa28/8150901/bc1948a3bb1b/nihms-1700870-f0005.jpg

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