Zobrazeno 1 - 10
of 149
pro vyhledávání: '"Zeng Qingjie"'
Annotation scarcity has become a major obstacle for training powerful deep-learning models for medical image segmentation, restricting their deployment in clinical scenarios. To address it, semi-supervised learning by exploiting abundant unlabeled da
Externí odkaz:
http://arxiv.org/abs/2311.11686
Semi-supervised learning (SSL) has been proven beneficial for mitigating the issue of limited labeled data especially on the task of volumetric medical image segmentation. Unlike previous SSL methods which focus on exploring highly confident pseudo-l
Externí odkaz:
http://arxiv.org/abs/2309.14819
Publikováno v:
In Optics Communications 1 January 2025 574
Autor:
Cai, Liping, Huang, Yizhong, Zhong, Liepeng, Zou, Xiaoxiao, Ji, Jiuxiu, Liu, Xianxian, Huang, Cong, Zeng, Qingjie, Yang, Bin, Xiao, Shijun, Ma, Junwu, Huang, Lusheng
Publikováno v:
In Meat Science April 2023 198
Autor:
Zeng, Qingjie, Wang, Jin
Publikováno v:
In Laparoscopic, Endoscopic and Robotic Surgery March 2023 6(1):16-23
Autor:
Huang, Yizhong, Cai, Liping, Duan, Yanyu, Zeng, Qingjie, He, Maozhang, Wu, Zhongping, Zou, Xiaoxiao, Zhou, Mengqing, Zhang, Zhou, Xiao, Shijun, Yang, Bin, Ma, Junwu, Huang, Lusheng
Publikováno v:
In Meat Science December 2022 194
Autor:
Zeng, Qingjie1 (AUTHOR) zqj198705@163.com, Du, Zhi‐Qiang2 (AUTHOR)
Publikováno v:
Animal Genetics. Dec2023, Vol. 54 Issue 6, p709-720. 12p.
Autor:
Zeng, Qingjie
Publikováno v:
Democratization; Oct2024, Vol. 31 Issue 7, p1373-1396, 24p
Akademický článek
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Autor:
Zeng, Qingjie1 (AUTHOR) zqingjie@fudan.edu.cn
Publikováno v:
British Journal of Political Science. Jul2024, Vol. 54 Issue 3, p667-692. 26p.