Zobrazeno 1 - 10
of 458
pro vyhledávání: '"Zhu, Jianbing"'
Data-driven fault detection has been regarded as a 3D image segmentation task. The models trained from synthetic data are difficult to generalize in some surveys. Recently, training 3D fault segmentation using sparse manual 2D slices is thought to yi
Externí odkaz:
http://arxiv.org/abs/2110.05319
Publikováno v:
In Chem Catalysis 20 June 2024 4(6)
Autor:
Li, Jinsheng, Jin, Zhao, Liu, Fengxiang, Wang, Xue, Li, Wenjing, Xiao, Meiling, Liu, Changpeng, Xing, Wei, Zhu, Jianbing
Publikováno v:
In Journal of Membrane Science June 2024 703
Autor:
Zheng, Ruixue, Meng, Qinglei, Zhang, Hao, Li, Teng, Yang, Di, Zhang, Li, Jia, Xiaolong, Liu, Changpeng, Zhu, Jianbing, Duan, Xiaozheng, Xiao, Meiling, Xing, Wei
Publikováno v:
In Journal of Energy Chemistry March 2024 90:7-15
Detection faults in seismic data is a crucial step for seismic structural interpretation, reservoir characterization and well placement. Some recent works regard it as an image segmentation task. The task of image segmentation requires huge labels, e
Externí odkaz:
http://arxiv.org/abs/2105.03857
Publikováno v:
In Case Studies in Thermal Engineering February 2024 54
Autor:
Yang, Guo, Yang, Yuanbo, Qu, Hanshi, Wang, Yibo, Ru, Chunyu, Wu, Hongxiang, Han, Yaru, Zhu, Jianbing, Xiao, Meiling, Liu, Changpeng, Xing, Wei
Publikováno v:
In Materials Today Physics January 2024 40
Autor:
Zhu, Jianbing1,2 (AUTHOR) ndyfy05336@ncu.edu.cn, Wang, Qian3 (AUTHOR), Zheng, Zeqi1,2 (AUTHOR), Ma, Leilei4 (AUTHOR), Guo, Junjie5 (AUTHOR), Shi, Hongtao4 (AUTHOR), Ying, Ru1,2 (AUTHOR), Gao, Beilei1,2 (AUTHOR), Chen, Shanshan1,2 (AUTHOR), Yu, Siyang1,2 (AUTHOR), Yuan, Bin6 (AUTHOR), Peng, Xiaoping1,2 (AUTHOR) pppeng.ok@163.com, Ge, Junbo4 (AUTHOR) jbge@zs-hospital.sh.cn
Publikováno v:
Scientific Reports. 3/19/2024, Vol. 14 Issue 1, p1-14. 14p.
Robust segmentation for non-elongated tissues in medical images is hard to realize due to the large variation of the shape, size, and appearance of these tissues in different patients. In this paper, we present an end-to-end trainable deep segmentati
Externí odkaz:
http://arxiv.org/abs/2004.01397
Autor:
Wang, Jingkun, Sun, Haotian, Jiang, Ke, Cao, Weiwei, Chen, Shuangqing, Zhu, Jianbing, Yang, Xiaodong, Zheng, Jian
Publikováno v:
In Computer Methods and Programs in Biomedicine December 2023 242