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勘误:基于深度学习的甲状腺超声图像中超分辨率结节定位。

Corrigendum to: Super-resolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning.

机构信息

Department of Ultrasound, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, No. 1158 Gongyuan East Road, Qingpu District, Shanghai, 201700, China.

出版信息

Curr Med Imaging. 2024;20:e250724232275. doi: 10.2174/157340562001240725140602.

Abstract

The funding details have been incorporated upon author's request in the funding section of this articles entitled "Superresolution based Nodule Localization in Thyroid Ultrasound Images through Deep Learning," 2024, 20, e15734056269264 [1]. The original article can be found online at: https://www.eurekaselect.com/article/140408 Details of the error and a correction are provided here. Original: FUNDING None. Corrected: FUNDING This research is funded by the research project of Qingpu Branch of Zhongshan Hospital affiliated with the Fudan University (Project Number: QYM2022-09) and the research project of Qingpu District Health Commission (Project Number: QWJ2023-19).

摘要

资金细节已根据作者的要求纳入这篇题为“通过深度学习实现甲状腺超声图像中超分辨率结节定位”的文章的资金部分,2024 年,20 卷,e15734056269264[1]。原始文章可在以下网址找到:https://www.eurekaselect.com/article/140408

在此提供错误和更正的详细信息。

原文

FUNDING None.

译文

FUNDING 本研究由复旦大学中山医院青浦分院研究项目(项目编号:QYM2022-09)和青浦区卫生委员会研究项目资助(项目编号:QWJ2023-19)。

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