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修正：在方案移植活检中使用深度学习识别肾小球内组织学特征及其与肾功能和预后的关系。

IF 3.9 2区 医学 Q1 UROLOGY & NEPHROLOGY
Clinical Kidney Journal Pub Date : 2025-06-25 eCollection Date: 2025-06-01 DOI:10.1093/ckj/sfaf178
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[这更正了文章DOI: 10.1093/ckj/sfae019.]。
本文章由计算机程序翻译，如有差异，请以英文原文为准。
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Correction to: Recognition of intraglomerular histological features with deep learning in protocol transplant biopsies and their association with kidney function and prognosis.

[This corrects the article DOI: 10.1093/ckj/sfae019.].

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来源期刊
Clinical Kidney Journal
Clinical Kidney Journal Medicine-Transplantation
CiteScore
6.70
自引率
10.90%
发文量
242
审稿时长
8 weeks
期刊介绍： About the Journal Clinical Kidney Journal: Clinical and Translational Nephrology (ckj), an official journal of the ERA-EDTA (European Renal Association-European Dialysis and Transplant Association), is a fully open access, online only journal publishing bimonthly. The journal is an essential educational and training resource integrating clinical, translational and educational research into clinical practice. ckj aims to contribute to a translational research culture among nephrologists and kidney pathologists that helps close the gap between basic researchers and practicing clinicians and promote sorely needed innovation in the Nephrology field. All research articles in this journal have undergone peer review.
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