用于超声图像中前列腺精确分割的多级全卷积网络》[Biocybern. Biomed. Eng. 43(3) (2023) 586-602] 更正

IF 5.3 2区 医学 Q1 ENGINEERING, BIOMEDICAL
Yujie Feng , Chukwuemeka Clinton Atabansi , Jing Nie , Haijun Liu , Hang Zhou , Huai Zhao , Ruixia Hong , Fang Li , Xichuan Zhou
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Corrigendum to “Multi-stage fully convolutional network for precise prostate segmentation in ultrasound images” [Biocybern. Biomed. Eng. 43(3) (2023) 586–602]
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来源期刊
CiteScore
16.50
自引率
6.20%
发文量
77
审稿时长
38 days
期刊介绍: Biocybernetics and Biomedical Engineering is a quarterly journal, founded in 1981, devoted to publishing the results of original, innovative and creative research investigations in the field of Biocybernetics and biomedical engineering, which bridges mathematical, physical, chemical and engineering methods and technology to analyse physiological processes in living organisms as well as to develop methods, devices and systems used in biology and medicine, mainly in medical diagnosis, monitoring systems and therapy. The Journal''s mission is to advance scientific discovery into new or improved standards of care, and promotion a wide-ranging exchange between science and its application to humans.
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