Zobrazeno 1 - 10
of 41
pro vyhledávání: '"ZHI-FENG PANG"'
Autor:
Jiyun Chen, Xijun Zhang, Jianjun Yuan, Renjie Shao, Conggui Gan, Qiang Ji, Wei Luo, Zhi-Feng Pang, Haohui Zhu
Publikováno v:
BMC Medical Imaging, Vol 23, Iss 1, Pp 1-12 (2023)
Abstract Introduction Parameters, such as left ventricular ejection fraction, peak strain dispersion, global longitudinal strain, etc. are influential and clinically interpretable for detection of cardiac disease, while manual detection requires labo
Externí odkaz:
https://doaj.org/article/62b5e3f8e6ad4e0988937756677ca83d
Publikováno v:
Abstract and Applied Analysis, Vol 2012 (2012)
We propose a hybrid total-variation-type model for the image restoration problem based on combining advantages of the ROF model with the LLT model. Since two L1-norm terms in the proposed model make it difficultly solved by using some classically num
Externí odkaz:
https://doaj.org/article/f9ac81e634ed44d5868b44712ad55c11
Publikováno v:
Applied Mathematical Modelling. 119:605-625
Publikováno v:
Multimedia Tools and Applications.
Publikováno v:
Applied Mathematics and Computation. 452:128050
Autor:
Hu Zhanli, Haojie Zhou, Yong Zhang, Haiyan Wang, Chen Qihang, Zhi-Feng Pang, Rongpin Wang, Xinfeng Liu
Publikováno v:
Quant Imaging Med Surg
BACKGROUND: The dose of radiation a patient receives when undergoing dual-energy computed tomography (CT) is of significant concern to the medical community, and balancing the tradeoffs between the level of radiation used and the quality of CT images
Autor:
TINGTING WU1 wutt@njupt.edu.cn, ZHI-FENG PANG2 zhifengpang@163.com, YOUGUO WANG1,3 wyg@njupt.edu.cn, YU-FEI YANG4 yangyufei_hd@sina.com
Publikováno v:
International Journal of Numerical Analysis & Modeling. 2020, Vol. 17 Issue 3, p316-331. 16p.
Publikováno v:
Journal of Nonlinear & Variational Analysis; 2023, Vol. 7 Issue 4, p487-503, 17p
Autor:
Zhi-Feng Pang, Mengxiao Geng, Lan Zhang, Yanru Zhou, Tieyong Zeng, Liyun Zheng, Na Zhang, Dong Liang, Hairong Zheng, Yongming Dai, Zhenxing Huang, Zhanli Hu
Publikováno v:
Signal Processing. 205:108881
Publikováno v:
Computers & Mathematics with Applications. 80:569-587
To keep structures in the restoration problem is very important via coupling the local information of the image with the proposed model. In this paper we propose a local self-adaptive l p -regularization model for p ∈ ( 0 , 2 ) based on the total v