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Wenqian Li
Researcher at Okayama University
Publications - 2
Citations - 50
Wenqian Li is an academic researcher from Okayama University. The author has contributed to research in topics: Sperm motility & Ovarian cancer. The author has an hindex of 1, co-authored 1 publications receiving 27 citations.
Papers
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Journal ArticleDOI
Paper-based diagnostic devices for evaluating the quality of human sperm
Koji Matsuura,Kuan-Hung Chen,Cheng-Han Tsai,Wenqian Li,Yuka Asano,Keiji Naruse,Chao-Min Cheng +6 more
TL;DR: An inexpensive but robust and easy-to-handle device for monitoring the health status of human sperm made by patterning a piece of paper and measuring the activity of a specific enzyme—a simple and elegant solution is demonstrated.
Journal ArticleDOI
Deep learning-enabled pelvic ultrasound images for accurate diagnosis of ovarian cancer in China: a retrospective, multicentre, diagnostic study.
Yue Gao,Shaoqing Zeng,Xiaoyan Xu,Huayi Li,Shuzhong Yao,Kun Song,Xiao Lin,Lingxi Chen,Junying Tang,Hui Xing,Zhiying Yu,Qinghua Zhang,Shu′e Zeng,Cunjian Yi,H. Xie,Xiaoming Xiong,Guangyao Cai,Zhi Wang,Yuan Wu,Jianhua Chi,Xiaofei Jiao,Yan Qin,Xiaogang Mao,Yu Chen,Xin Jin,Qingqing Mo,Pingbo Chen,Yi Huang,Yushuang Shi,Junmei Wang,Yimin Zhou,Shuping Ding,Sha Zhu,Xin Liu,Xiangyi Dong,Liang Cheng,Lin-lin Zhu,Huanhuan Cheng,Lily Myung-Jin Cha,Yan-zhou Hao,Chunchun Jin,Lei Zhang,Peng Zhou,Meng Sun,Qing Feng Xu,Kehua Chen,Zeyan Gao,Xu Zhang,Yuanyuan Ma,Yang Liu,Li Xiao,Li Xu,L. Peng,Zheyu Hao,Mi Yang,Yane Wang,Hongping Ou,Yongmei Jia,Lihua Tian,Wei Zhang,Ping Jin,Xun Tian,Lei Huang,Zhen Wang,Jiahao Liu,T.Y. Fang,Dan Yan,Heng-Chang Cao,Jingjing Ma,Xiaoting Li,Xuejiao Zheng,Hua Lou,Chunyan Song,Ruyuan Li,Siyuan Wang,Wenqian Li,Xulei Zheng,Guannan Li,Ruqi Chen,Cheng Xu,Ruidi Yu,Ji Wang,Sen Xu,Beihua Kong,Xingyu Xie,Ding Ma,Qinglei Gao +86 more
TL;DR: Wang et al. as mentioned in this paper developed a deep convolutional neural network (DCNN) model that automates evaluation of ultrasound images and to facilitate a more accurate diagnosis of ovarian cancer than existing methods.