Zobrazeno 1 - 10
of 1 045
pro vyhledávání: '"Wang Qifeng"'
Autor:
Zhou Yehan, Qin Sheng, Yang Hong, Li Jiayu, Hou Jun, Ji Juan, Shi Min, Yan Jiaxin, Hu Shangzhi, Wang Yi, Wang Qifeng, Leng Xuefeng, He Wenwu, Cheng Xueyan, Liu Yang, Huang Zongyao
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
ObjectiveThe choice of neoadjuvant therapy for esophageal squamous cell carcinoma (ESCC) is controversial. This study aims to provide a basis for clinical treatment selection by establishing a predictive model for the efficacy of neoadjuvant immunoch
Externí odkaz:
https://doaj.org/article/1e1a9fc4a1274e8cbcf865c60c3deeec
Publikováno v:
发电技术, Vol 44, Iss 3, Pp 417-424 (2023)
Aiming at the problems of low efficiency, low level of intelligent operation and low level of data informatization application encountered in the current substation equipment test operation, a mobile laboratory platform based on grid cloud data manag
Externí odkaz:
https://doaj.org/article/a634a8ea5d8a4115bc5558872d544bd9
Survival prediction for esophageal squamous cell cancer (ESCC) is crucial for doctors to assess a patient's condition and tailor treatment plans. The application and development of multi-modal deep learning in this field have attracted attention in r
Externí odkaz:
http://arxiv.org/abs/2408.13290
Autor:
Wu, Chengyu, Wang, Chengkai, Wang, Yaqi, Zhou, Huiyu, Zhang, Yatao, Wang, Qifeng, Wang, Shuai
Esophageal cancer is one of the most common types of cancer worldwide and ranks sixth in cancer-related mortality. Accurate computer-assisted diagnosis of cancer progression can help physicians effectively customize personalized treatment plans. Curr
Externí odkaz:
http://arxiv.org/abs/2405.09539
Autor:
Yu, Qinji, Wang, Yirui, Yan, Ke, Li, Haoshen, Guo, Dazhou, Zhang, Li, Lu, Le, Shen, Na, Wang, Qifeng, Ding, Xiaowei, Ye, Xianghua, Jin, Dakai
Lymph node (LN) assessment is a critical, indispensable yet very challenging task in the routine clinical workflow of radiology and oncology. Accurate LN analysis is essential for cancer diagnosis, staging, and treatment planning. Finding scatteredly
Externí odkaz:
http://arxiv.org/abs/2404.03819
Autor:
WANG Qifeng
Publikováno v:
Gong-kuang zidonghua, Vol 43, Iss 2, Pp 7-10 (2017)
For multi-system fusion requirement in Technology schemes of upgrading of coal mine safety monitoring and control system(exposure draft), existing multi-system fusion condition of coal mine was analyzed, and an underground multi-system fusion scheme
Externí odkaz:
https://doaj.org/article/846e0a62598f46cf8de2fb8a7d8b5f3d
Autor:
Ji, Zhanghexuan, Guo, Dazhou, Wang, Puyang, Yan, Ke, Lu, Le, Xu, Minfeng, Zhou, Jingren, Wang, Qifeng, Ge, Jia, Gao, Mingchen, Ye, Xianghua, Jin, Dakai
Deep learning empowers the mainstream medical image segmentation methods. Nevertheless current deep segmentation approaches are not capable of efficiently and effectively adapting and updating the trained models when new incremental segmentation clas
Externí odkaz:
http://arxiv.org/abs/2302.00162
Autor:
Chen, Jieneng, Xia, Yingda, Yao, Jiawen, Yan, Ke, Zhang, Jianpeng, Lu, Le, Wang, Fakai, Zhou, Bo, Qiu, Mingyan, Yu, Qihang, Yuan, Mingze, Fang, Wei, Tang, Yuxing, Xu, Minfeng, Zhou, Jian, Zhao, Yuqian, Wang, Qifeng, Ye, Xianghua, Yin, Xiaoli, Shi, Yu, Chen, Xin, Zhou, Jingren, Yuille, Alan, Liu, Zaiyi, Zhang, Ling
Human readers or radiologists routinely perform full-body multi-organ multi-disease detection and diagnosis in clinical practice, while most medical AI systems are built to focus on single organs with a narrow list of a few diseases. This might sever
Externí odkaz:
http://arxiv.org/abs/2301.12291
Autor:
Wang, Qifeng1 (AUTHOR) haiftang@petrochina.com.cn, Guo, Zhi1 (AUTHOR) cg2020@petrochina.com.cn, Tang, Haifa1 (AUTHOR) liuzhaol69@petrochina.com.cn, Cheng, Gang1 (AUTHOR), Liu, Zhaolong1 (AUTHOR), Zhou, Kuo2,3 (AUTHOR) 2022210082@student.cup.edu.cn
Publikováno v:
Energies (19961073). Sep2024, Vol. 17 Issue 17, p4488. 14p.
Autor:
Yu, Jiayi, Jiang, Leilei, Zhao, Lina, Yang, Xue, Wang, Xiaomin, Yang, Dan, Zhuo, Minglei, Chen, Hanxiao, Huang, Wei, Zhu, Zhengfei, Zhang, Min, Song, Yipeng, Li, Quanfu, Ma, Zhanshu, Wang, Qifeng, Qu, Yanli, Yu, Rong, Yu, Huiming, Chu, Li, Bai, Yun, Zhao, Yidian, Luo, Jinghua, Chen, WenLi, Gu, Tao, Liu, Shixin, Yang, Jun, Wu, Yiqun, Zhao, Jun, Shi, Anhui
Publikováno v:
In The Lancet Respiratory Medicine October 2024 12(10):799-809