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A new, feasible, and convenient method based on semantic segmentation and deep learning for hemoglobin monitoring 期刊论文
FRONTIERS IN MEDICINE, 2023, 卷号: 10, 页码: 9
作者:  Hu, Xiao-Yan;  Li, Yu-Jie;  Shu, Xin;  Song, Ai-Lin;  Liang, Hao;  Sun, Yi-Zhu;  Wu, Xian-Feng;  Li, Yong-Shuai;  Tan, Li-Fang;  Yang, Zhi-Yong;  Yang, Chun-Yong;  Xu, Lin-Quan;  Chen, Yu-Wen;  Yi, Bin
收藏  |  浏览/下载:11/0  |  提交时间:2023/12/25
continuous hemoglobin monitoring  deep learning  semantic segmentation  mask R-CNN  MobileNetV3  
Catalytic enhancement of small sizes of CeO2 additives on Ir/Al2O3 for toluene oxidation 期刊论文
APPLIED SURFACE SCIENCE, 2022, 卷号: 571, 页码: 11
作者:  Wang, Zhiqiang;  Zhang, Lixin;  Ji, Jiawei;  Wu, Yuchao;  Cai, Yandi;  Yao, Xiaojiang;  Gu, Xianrui;  Xiong, Yan;  Wan, Haiqin;  Dong, Lin;  Chen, Yu-Wen
收藏  |  浏览/下载:55/0  |  提交时间:2022/08/22
Iridium catalyst  Ceria additives  Toluene catalytic oxidation  Interaction  
A Simple and Quick Screening Method for Intrapulmonary Vascular Dilation in Cirrhotic Patients Based on Machine Learning 期刊论文
JOURNAL OF CLINICAL AND TRANSLATIONAL HEPATOLOGY, 2021, 页码: 8
作者:  Li, Yu-Jie;  Tang, Xi;  Li, Peng;  Yang, Zhi-Yong;  Zhi, Hong-Yu;  Li, Xiao-Jun;  Chen, Yang;  Deng, Peng;  Qin, Xiao-Lin;  Gu, Jian-Teng;  Ning, Jiao-Lin;  Lu, Kai-Zhi;  Zhang, Ju;  Xia, Zheng-Yuan;  Chen, Yu-Wen;  Yi, Bin
收藏  |  浏览/下载:91/0  |  提交时间:2021/11/26
Hepatopulmonary syndrome  Intrapulmonary vascular dilation  Cirrhosis  Screening  Machine learning  
A better method for the dynamic, precise estimating of blood/haemoglobin loss based on deep learning of artificial intelligence 期刊论文
ANNALS OF TRANSLATIONAL MEDICINE, 2020, 卷号: 8, 期号: 19, 页码: 14
作者:  Li, Yu-Jie;  Zhang, Li-Ge;  Zhi, Hong-Yu;  Zhong, Kun-Hua;  He, Wen-Quan;  Chen, Yang;  Yang, Zhi-Yong;  Chen, Lin;  Bai, Xue-Hong;  Qin, Xiao-Lin;  Li, Dan-Feng;  Wang, Dan-Dan;  Gu, Jian-Teng;  Ning, Jiao-Lin;  Lu, Kai-Zhi;  Zhang, Ju;  Xia, Zheng-Yuan;  Chen, Yu-Wen;  Yi, Bin
收藏  |  浏览/下载:111/0  |  提交时间:2021/02/24
Intra-operative blood loss  intra-operative haemoglobin loss  densely connected convolutional networks  feature extraction technology