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电熔镁砂熔炼过程电极电流饱和约束一步最优控制 期刊论文
自动化学报, 2022, 卷号: 48, 期号: 1, 页码: 239-248
作者:  富月;  李宝
Adobe PDF(2482Kb)  |  收藏  |  浏览/下载:12/5  |  提交时间:2024/05/20
电熔镁砂  饱和约束  离散时间非线性系统  一步最优控制  
Tumor Mutation Burden-Related Histopathologic Features for Predicting Overall Survival in Gliomas Using Graph Deep Learning 期刊论文
AMERICAN JOURNAL OF PATHOLOGY, 2023, 卷号: 193, 期号: 12, 页码: 2111-2121
作者:  Sun, Caixia;  Luo, Tao;  Liu, Zhenyu;  Ge, Jia;  Shao, Lizhi;  Liu, Xiangyu;  Li, Bao;  Zhang, Song;  Qiu, Qi;  Wei, Wei;  Wang, Shuo;  Bian, Xiu-Wu;  Tian, Jie
收藏  |  浏览/下载:90/0  |  提交时间:2024/02/22
Improving prognosis and assessing adjuvant chemotherapy benefit in locally advanced rectal cancer with deep learning for MRI: A retrospective, multi-cohort study 期刊论文
RADIOTHERAPY AND ONCOLOGY, 2023, 卷号: 188, 页码: 9
作者:  Zhang, Song;  Cai, Guoxiang;  Xie, Peiyi;  Sun, Caixia;  Li, Bao;  Dai, Weixing;  Liu, Xiangyu;  Qiu, Qi;  Du, Yang;  Li, Zhenhui;  Liu, Zhenyu;  Tian, Jie
收藏  |  浏览/下载:130/0  |  提交时间:2023/11/15
Locally advanced rectal cancer  Magnetic resonance imaging  Prognosis  Adjuvant chemotherapy  Deep learning  
Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer : A multicenter study 期刊论文
BREAST, 2022, 卷号: 66, 页码: 183-190
作者:  Li, Bao;  Li, Fengling;  Liu, Zhenyu;  Xu, FangPing;  Ye, Guolin;  Li, Wei;  Zhang, Yimin;  Zhu, Teng;  Shao, Lizhi;  Chen, Chi;  Sun, Caixia;  Qiu, Bensheng;  Bu, Hong;  Wang, Kun;  Tian, Jie
收藏  |  浏览/下载:255/0  |  提交时间:2022/12/27
Breast cancer  Neoadjuvant chemotherapy  Pathological complete response  Whole-slide image  Deep learning  
Real-Time Page Checking Algorithm Based on Constant Scale SIFT 会议论文
IEEE World Congresson Intelligent Control and Automation (WCICA), 2010
作者:  Huang, W;  Wang, YK;  Ding, MX;  Li, B;  Wu, SH
收藏  |  浏览/下载:91/0  |  提交时间:2020/10/27
Design of the Fuzzy Controller based on Oscillator Networks for a Quadruped Robot 会议论文
Chinese Conference on Pattern Recognition (CCPR), and CJK Joint Workshop on Pattern Recognition (CJKPR), Beijing, China, 2009
作者:  Li, X;  Wang, W;  Li, B;  Wang, YJ;  Yang, YP;  Wang,Wei
浏览  |  Adobe PDF(907Kb)  |  收藏  |  浏览/下载:224/57  |  提交时间:2015/08/19
Fuzzy Control