作者更正：局灶性肝脏病变的深度学习和多阶段CT成像诊断

IF 15.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Communications Pub Date : 2025-06-18 DOI:10.1038/s41467-025-61097-2

Yi Wei, Meiyi Yang, Meng Zhang, Feifei Gao, Ning Zhang, Fubi Hu, Xiao Zhang, Shasha Zhang, Zixing Huang, Lifeng Xu, Feng Zhang, Minghui Liu, Jiali Deng, Xuan Cheng, Tianshu Xie, Xiaomin Wang, Nianbo Liu, Haigang Gong, Shaocheng Zhu, Bin Song, Ming Liu

引用次数: 0

摘要

更正：Nature Communications https://doi.org/10.1038/s41467-024-51260-6，于2024年8月18日在线发布

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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Author Correction: Focal liver lesion diagnosis with deep learning and multistage CT imaging

Correction to: Nature Communications https://doi.org/10.1038/s41467-024-51260-6, published online 18 August 2024

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来源期刊

Nature Communications Biological Science Disciplines-

CiteScore

24.90

自引率

2.40%

发文量

6928

审稿时长

3.7 months

期刊介绍： Nature Communications, an open-access journal, publishes high-quality research spanning all areas of the natural sciences. Papers featured in the journal showcase significant advances relevant to specialists in each respective field. With a 2-year impact factor of 16.6 (2022) and a median time of 8 days from submission to the first editorial decision, Nature Communications is committed to rapid dissemination of research findings. As a multidisciplinary journal, it welcomes contributions from biological, health, physical, chemical, Earth, social, mathematical, applied, and engineering sciences, aiming to highlight important breakthroughs within each domain.