Lu Wang
4 Papers
Lu Wang is an academic researcher. The author has contributed to research in topics: Medicine & Biology. The author has an hindex of 1, co-authored 4 publications.
Chat about Author
Papers
Guidelines for the Diagnosis and Treatment of Primary Liver Cancer (2022 Edition)
Jian Zhou,Hui-Chuan Sun,Zheng Wang,Wenming Cong,Mengsu Zeng,Weiping Zhou,Ping Bie,Lianxin Liu,Tian-Fu Wen,Ming Kuang,Guohong Han,Zhiping Yan,Ruibao Liu,Ligong Lu,Zhenggang Ren,Zhaochong Zeng,Ping Liang,C. H. Lin,Min Chen,Fuhua Yan,Wenping Wang,Jin-Xiu Hou,Yuan Ji,Jingping Yun,Xueli Bai,Dingfang Cai,Weixia Chen,Yongjun Chen,Wenwu Cheng,Shuqun Cheng,Chaoliu Dai,Wenzhi Guo,Yabing Guo,Baojin Hua,Xiao-Wu Huang,Weidong Jia,Qiu Li,Tao Li,Xun Li,Yaming Li,Yexiong Li,Jun Liang,Changquan Ling,Tian Liu,Xiu-Feng Liu,Shi-yong Lu,Guoyue Lv,Yilei Mao,Zhiqiang Meng,Tao Peng,Weixin Ren,Hongcheng Shi,Guoming Shi,Ming Quan Shi,Tianqiang Song,Kaishan Tao,Jianhua Wang,Kui Wang,Lu Wang,Wentao Wang,Xiaoying Wang,Zhiming Wang,Bo Xiang,B. Xing,Jianming Xu,Jiamei Yang,Jianyong Yang,Yefa Yang,Yunke Yang,Shenglong Ye,Zhenyu Yin,Yong Zeng,Bixiang Zhang,Bo-Heng Zhang,Leida Zhang,Shuijun Zhang,Ti Zhang,Yanqiao Zhang,Min Zhao,Yongfu Zhao,Honggang Zheng,Ledu Zhou,Jiye Zhu,Kangshun Zhu,Rong Liu,Ying-Hong Shi,Yongsheng Xiao,Lan Zhang,Chun Yang,Zhifeng Wu,Zhi Dai,Minshan Chen,Jianqiang Cai,Weilin Wang,Xiujun Cai,Qiang Li,Feng Shen,Shukui Qin,Gao-Jun Teng,Jiahong Dong,Jiali Fan +100 more
TL;DR: Wang et al. as discussed by the authors proposed a new guideline for primary liver cancer in China, which aims to encourage the implementation of evidence-based practice, and improve the national average five-year survival rate for patients with liver cancer.
An optimized online filter stack spectrometer
Jiaqi Wen,Gengyu Ma,Minghai Yu,Yuchi Wu,Yongfu Yan,Shao Yi Wang,Huai-zhong Gao,Lu Wang,Yu-gang Zhou,Qiang Li,Yue Yang,Fang Tan,Xiao-Hui Zhang,Jie Zhang,Wenbo Mo,Jingqin Su,Wei Zhou,Yuqiu Gu,Zongqin Zhao,Ming Zeng +19 more
- 29 Jan 2023
TL;DR: In this paper , the authors used a genetic algorithm to optimize the arrangement of the X-ray sensors and filters by minimizing the condition number of the response matrix, thus the unfolding error can be significantly decreased according to the numerical experiments.