Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Biqing Zheng"'
Autor:
Yulin Yan, Weiyan Jiang, Yiwen Zhou, Yi Yu, Linying Huang, Shanshan Wan, Hongmei Zheng, Miao Tian, Huiling Wu, Li Huang, Lianlian Wu, Simin Cheng, Yuelan Gao, Jiewen Mao, Yujin Wang, Yuyu Cong, Qian Deng, Xiaoshuo Shi, Zixian Yang, Qingmei Miao, Biqing Zheng, Yujing Wang, Yanning Yang
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
ObjectiveIn order to automatically and rapidly recognize the layers of corneal images using in vivo confocal microscopy (IVCM) and classify them into normal and abnormal images, a computer-aided diagnostic model was developed and tested based on deep
Externí odkaz:
https://doaj.org/article/6cad471795c24ad8a84c03a8b6607406
Autor:
Wei Zhou, MD, Liwen Yao, MD, Huiling Wu, MD, Biqing Zheng, MD, Shan Hu, PhD, Lihui Zhang, MD, Xun Li, MD, Chunping He, MD, Zhengqiang Wang, MD, Yanxia Li, MD, Chao Huang, MD, Mingwen Guo, MD, Xiaoqing Zhang, MD, Qingxi Zhu, MD, Lianlian Wu, MD, Yunchao Deng, MD, Jun Zhang, MD, Wei Tan, MD, Chao Li, MD, Chenxia Zhang, MA, Rongrong Gong, MA, Hongliu Du, MD, Jie Zhou, MD, Prateek Sharma, ProfMD, Honggang Yu, ProfMD
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 11, Pp e697-e706 (2021)
Summary: Background: Inadequate bowel preparation is associated with a decrease in adenoma detection rate (ADR). A deep learning-based bowel preparation assessment system based on the Boston bowel preparation scale (BBPS) has been previously establis
Externí odkaz:
https://doaj.org/article/5ef14a2778ec4ed4bbd81134cb7a4e26
Autor:
Liwen Yao, Jun Zhang, Jun Liu, Liangru Zhu, Xiangwu Ding, Di Chen, Huiling Wu, Zihua Lu, Wei Zhou, Lihui Zhang, Bo Xu, Shan Hu, Biqing Zheng, Yanning Yang, Honggang Yu
Publikováno v:
EBioMedicine, Vol 73, Iss , Pp 103650- (2021)
Externí odkaz:
https://doaj.org/article/36ea934e6ab943ac911525c125dc3b75
Autor:
Liwen Yao, Jun Zhang, Jun Liu, Liangru Zhu, Xiangwu Ding, Di Chen, Huiling Wu, Zihua Lu, Wei Zhou, Lihui Zhang, Bo Xu, Shan Hu, Biqing Zheng, Yanning Yang, Honggang Yu
Publikováno v:
EBioMedicine, Vol 65, Iss , Pp 103238- (2021)
Summary: Background: Detailed evaluation of bile duct (BD) is main focus during endoscopic ultrasound (EUS). The aim of this study was to develop a system for EUS BD scanning augmentation. Methods: The scanning was divided into 4 stations. We develop
Externí odkaz:
https://doaj.org/article/469f5c30eff94ec29617fda70de32630
Autor:
Biqing Zheng, Zhengqiang Wang, Jun Zhang, Jie Zhou, Chao Huang, Yunchao Deng, Wei Tan, Huiling Wu, Lihui Zhang, Hongliu Du, Chunping He, Qingxi Zhu, Rongrong Gong, Shan Hu, Honggang Yu, Lianlian Wu, Wei Zhou, Mingwen Guo, Liwen Yao, Chao Li, Xun Li, Yanxia Li, Prateek Sharma, Chenxia Zhang, Xiaoqing Zhang
Publikováno v:
The Lancet: Digital Health, Vol 3, Iss 11, Pp e697-e706 (2021)
Summary: Background: Inadequate bowel preparation is associated with a decrease in adenoma detection rate (ADR). A deep learning-based bowel preparation assessment system based on the Boston bowel preparation scale (BBPS) has been previously establis
Autor:
Bo Xu, Liwen Yao, Shan Hu, Honggang Yu, Jun Liu, Liangru Zhu, Huiling Wu, Jun Zhang, Xiangwu Ding, Biqing Zheng, Di Chen, Yanning Yang, Zihua Lu, Lihui Zhang, Wei Zhou
Publikováno v:
EBioMedicine
EBioMedicine, Vol 65, Iss, Pp 103238-(2021)
EBioMedicine, Vol 65, Iss, Pp 103238-(2021)
Summary: Background: Detailed evaluation of bile duct (BD) is main focus during endoscopic ultrasound (EUS). The aim of this study was to develop a system for EUS BD scanning augmentation. Methods: The scanning was divided into 4 stations. We develop
Autor:
Xiao Hu, Yilin Zhao, Yijie Zhu, Shulan Huang, Zehua Dong, Ming Yang, Qiuxiang Chen, Xi Chen, Kuo Zhang, Youming Xu, Jun Zhang, Liang Zhang, Huiling Wu, Shan Hu, Honggang Yu, Jun Chen, Lianlian Wu, Xiao Yang, Lilei Yu, Dexin Gong, Yonggui Wang, Mengjiao Zhang, Fan Cheng, Biqing Zheng
Publikováno v:
Scientific Reports
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Scientific Reports, Vol 10, Iss 1, Pp 1-11 (2020)
Computed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. We aimed to construct a system based on deep learning for detecting COVID-19 pneumonia on high resolution CT. For model development an
Autor:
Yonggui Wang, Jun Zhang, Jun Chen, Lianlian Wu, Shan Hu, Honggang Yu, Yilin Zhao, Xiao Hu, Kuo Zhang, Xi Chen, Dexin Gong, Biqing Zheng, Huiling Wu, Yijie Zhu, Youming Xu, Liang Zhang, Lilei Yu, Zehua Dong
BackgroundComputed tomography (CT) is the preferred imaging method for diagnosing 2019 novel coronavirus (COVID19) pneumonia. Our research aimed to construct a system based on deep learning for detecting COVID-19 pneumonia on high resolution CT, reli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56ccfc5e770fa47eabf700b59543d18e
https://doi.org/10.1101/2020.02.25.20021568
https://doi.org/10.1101/2020.02.25.20021568
Autor:
Yujing Wang, Yanning Yang, Yiwen Zhou, Bin Peng, Lianlian Wu, Biqing Zheng, Yang Wang, Shanshan Wan, Di Chen, Xi Chen, Ying Wang, Yi Yu, Liwen Yao, Yuelan Gao, Miao Tian, Yulin Yan, Yuqing Huang, Shan Hu, Honggang Yu
Publikováno v:
Translational Vision Science & Technology
Purpose The purpose of this study was to construct a deep learning system for rapidly and accurately screening retinal detachment (RD), vitreous detachment (VD), and vitreous hemorrhage (VH) in ophthalmic ultrasound in real time. Methods We used a de
Autor:
Jian Wang, Ruming Zhang, Xi Cao, Yong Chen, Yingqiang Shi, Chunmeng Wang, Zhiguo Luo, Biqing Zheng
Publikováno v:
European Journal of Cancer Prevention. 21:585-587