Correction to “Improved UNet-Based Magnetic Resonance Imaging Segmentation of Demyelinating Diseases With Small Lesion Regions”

IF 1.3 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
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引用次数: 0

Abstract

M. Liu, T. Wang, D. Liu, F. Gao and J. Cao: Improved UNet-Based Magnetic Resonance Imaging Segmentation of Demyelinating Diseases With Small Lesion Regions. Cogn. Comput. Syst. 1–8 (2024). https://doi.org/10.1049/ccs2.12099.

The details of the ethical approval and consent for the study were not stated in the article. The details are listed below as follows:

“This study has been approved by the Ethic Committee of the Children's Hospital, Zhejiang University School of Medicine (2020-IRB-124), and registered in Chinese Clinical Trial Registry (ChiCTR2000028804). All patients provided informed consent before inclusion in the study.”

The authors apologize for this error.

Abstract Image

Abstract Image

修正“基于改进unet的小病变区域脱髓鞘疾病的磁共振成像分割”
刘敏,王涛,刘德东,高峰,曹建军:基于unet的小病变区域脱髓鞘疾病的磁共振成像分割。Cogn。第一版。系统1-8(2024)。https://doi.org/10.1049/ccs2.12099.The该研究的伦理批准和同意细节未在文章中说明。具体内容如下:“本研究已获得浙江大学医学院儿童医院伦理委员会批准(2020-IRB-124),并已在中国临床试验注册中心注册(ChiCTR2000028804)。所有患者在纳入研究前都提供了知情同意。”作者为这个错误道歉。
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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来源期刊
Cognitive Computation and Systems
Cognitive Computation and Systems Computer Science-Computer Science Applications
CiteScore
2.50
自引率
0.00%
发文量
39
审稿时长
10 weeks
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