关于“使用常规 MRI 和基于表观扩散系数的深度学习算法诊断儿童自闭症谱系障碍”的社论评论。
Editorial comment on "Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms".
机构信息
Department of Radiology, The Royal Melbourne Hospital, 300 Grattan Street, Melbourne, VIC, 3000, Australia.
出版信息
Eur Radiol. 2022 Feb;32(2):759-760. doi: 10.1007/s00330-021-08371-1. Epub 2021 Nov 25.
PMID:34821968
Abstract
This editorial comment refers to the article: "Diagnosing autism spectrum disorder in children using conventional MRI and apparent diffusion coefficient based deep learning algorithms" by Guo et al. (Eur Radiol, 2021). KEY POINTS: •Deep learning may help to uncover imaging features of autism spectrum disorder on MRI.
摘要
这篇社论评论的是郭等人的文章
“使用常规 MRI 和基于表观扩散系数的深度学习算法诊断儿童自闭症谱系障碍”。（欧洲放射学，2021 年）。要点：•深度学习可能有助于发现 MRI 上自闭症谱系障碍的影像学特征。
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