Suppr超能文献

勘误:基于深度学习的 Faster R-CNN 在放射影像中自动膝关节定位

Corrigendum to: Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN.

机构信息

Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India.

出版信息

Curr Med Imaging. 2024;20:e060624230768. doi: 10.2174/157340562001240606112211.

Abstract

In the online version of the article, a change was made in the section of author's affiliation. The affiliation of Drs. Sivakumari and Vani in the online version of the article entitled "Deep Learning-based Automated Knee Joint Localization in Radiographic Images Using Faster R-CNN has been updated in "Current Medical Imaging", 2024; 20: e15734056262464 [1]. The original article can be found online at: https:// www.eurekaselect.com/article/135374 Original: T. Sivakumari and R. Vani* SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India Corrected: T. Sivakumari and R. Vani* Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Faculty of Engineering and Technology, Ramapuram, Chennai, Tamil Nadu, India.

摘要

在文章的在线版本中,作者的隶属关系部分发生了变化。题为“使用 Faster R-CNN 的基于深度学习的放射影像膝关节自动定位”的文章中,Sivakumari 博士和 Vani 博士的隶属关系在“Current Medical Imaging”中的更新为“e15734056262464 [1]”。原始文章可在线查阅:https://www.eurekaselect.com/article/135374 原文:T. Sivakumari 和 R. Vani* 金奈泰米尔纳德邦拉马普拉姆的 SRM 科技学院工程与技术学院 更正:T. Sivakumari 和 R. Vani* 金奈泰米尔纳德邦拉马普拉姆的 SRM 科技学院工程与技术学院电子与通信工程部

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验