作者更正：使用多模态数据诊断脉络膜瘤的基于概念的可解释模型

IF 15.7 1区综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES

Nature Communications Pub Date : 2025-05-12 DOI:10.1038/s41467-025-59792-1

Yifan Wu, Yang Liu, Yue Yang, Michael S. Yao, Wenli Yang, Xuehui Shi, Lihong Yang, Dongjun Li, Yueming Liu, Shiyi Yin, Chunyan Lei, Meixia Zhang, James C. Gee, Xuan Yang, Wenbin Wei, Shi Gu

引用次数: 0

摘要

更正：Nature Communications https://doi.org/10.1038/s41467-025-58801-7，于2025年4月13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: A concept-based interpretable model for the diagnosis of choroid neoplasias using multimodal data

Correction to: Nature Communications https://doi.org/10.1038/s41467-025-58801-7, published online 13 April 2025

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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.