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用于解读和量化肺部图像的人工智能驱动的新冠病毒工具

AI-Driven COVID-19 Tools to Interpret, Quantify Lung Images.

作者信息

Mertz Leslie

出版信息

IEEE Pulse. 2020 Jul-Aug;11(4):2-7. doi: 10.1109/MPULS.2020.3008354.

DOI:10.1109/MPULS.2020.3008354
PMID:32804639
Abstract

Qualitative interpretation is a good thing when it comes to reading lung images in the fight against coronavirus 2019 disease (COVID-19), but quantitative analysis makes radiology reporting much more comprehensive. To that end, several research groups have begun looking to artificial intelligence (AI) as a tool for reading and analyzing X-rays and computed tomography (CT) scans, and helping to diagnose and monitor COVID-19.

摘要

在抗击2019冠状病毒病(COVID-19)过程中读取肺部影像时,定性解读是件好事,但定量分析能使放射学报告更加全面。为此,几个研究团队已开始将人工智能(AI)视为读取和分析X射线及计算机断层扫描(CT)的工具,并助力诊断和监测COVID-19。

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