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作者更正:通过深度学习从视网膜眼底图像中检测贫血

Author Correction: Detection of anaemia from retinal fundus images via deep learning.

作者信息

Mitani Akinori, Huang Abigail, Venugopalan Subhashini, Corrado Greg S, Peng Lily, Webster Dale R, Hammel Naama, Liu Yun, Varadarajan Avinash V

机构信息

Google Health, Google, Mountain View, CA, USA.

Google Research, Google, Mountain View, CA, USA.

出版信息

Nat Biomed Eng. 2020 Feb;4(2):242. doi: 10.1038/s41551-020-0530-0.

DOI:10.1038/s41551-020-0530-0
PMID:32051580
Abstract

An amendment to this paper has been published and can be accessed via a link at the top of the paper.

摘要

本文的一个修订版本已发表,可通过本文顶部的链接获取。

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Artificial intelligence to estimate the tear film breakup time and diagnose dry eye disease.
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Longitudinal fundus imaging and its genome-wide association analysis provide evidence for a human retinal aging clock.纵向眼底成像及其全基因组关联分析为人类视网膜衰老时钟提供了证据。
Elife. 2023 Apr 17;12:e82364. doi: 10.7554/eLife.82364.