Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Wenke Yu"'
Publikováno v:
Annals of Medicine, Vol 56, Iss 1 (2024)
Objective To evaluate the effectiveness of a machine learning based on computed tomography (CT) radiomics to distinguish nontuberculous mycobacterial pulmonary disease (NTM-PD) from pulmonary tuberculosis (PTB).Methods In this retrospective analysis,
Externí odkaz:
https://doaj.org/article/ba2ece70ea514e2fa054ebb27da1b815
Publikováno v:
Cancer Medicine, Vol 12, Iss 6, Pp 6867-6876 (2023)
Abstract Background Prediction models with high accuracy rates for nonmetastatic cervical cancer (CC) patients are limited. This study aimed to construct and compare predictive models on the basis of machine learning (ML) algorithms for predicting th
Externí odkaz:
https://doaj.org/article/9072a5b95f3e41d3929cbabf12bf3263
Autor:
Wenke Yu, Hong’en Xu, Fangjie Chen, Huafeng Shou, Ying Chen, Yongshi Jia, Hongwei Zhang, Jieni Ding, Hanchu Xiong, Yiwen Wang, Tao Song
Publikováno v:
Frontiers in Nutrition, Vol 10 (2023)
ObjectiveIn individuals with stage IB1-IIA2 cervical cancer (CC) who received postoperative radiotherapy ± chemotherapy (PORT/CRT), the interaction between sarcopenia and malnutrition remains elusive, let alone employing a nomogram model based on ra
Externí odkaz:
https://doaj.org/article/61dfae4246e0411586a5dc40bb99c596
Publikováno v:
物联网学报, Vol 4, Pp 105-109 (2020)
The Internet of things (IoT) has been developing for a decade in China,which has rapidly evolved from the early sensor network technology,radio frequency identification (RFID) technology to the intelligent networking technology based on 5G.The Intern
Externí odkaz:
https://doaj.org/article/3d2b245db3874fe58d97e80d674bf849
Autor:
Wenke Yu, Lu Huang, Zixing Zhong, Tao Song, Hong'en Xu, Yongshi Jia, Jinming Hu, Huafeng Shou
Publikováno v:
Frontiers in Medicine, Vol 8 (2021)
Background: This study constructed and demonstrated a model to predict the overall survival (OS) of newly diagnosed distant metastatic cervical cancer (mCC) patients.Methods: The SEER (Surveillance, Epidemiology, and End Results) database was used to
Externí odkaz:
https://doaj.org/article/6265175a311a4b4295451ac0f1052aac
Autor:
Yao Zhang, Ruiting Zhang, Yongquan Ye, Shuyue Wang, Yeerfan Jiaerken, Hui Hong, Kaicheng Li, Qingze Zeng, Xiao Luo, Xiaopei Xu, Xinfeng Yu, Xiao Wu, Wenke Yu, Minming Zhang, Peiyu Huang
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Assessing glymphatic function using in-vivo imaging method is of great value for understanding its contribution to major brain diseases. In the present study, we aim to validate the association between a variety of risk factors and a potential index
Externí odkaz:
https://doaj.org/article/4d52ee09de09461eb3a714bb924742d5
Autor:
Xiaopei Xu, Xiao Wu, Chengcheng Zhu, Ruiting Zhang, Yeerfan Jiaerken, Shuyue Wang, Hui Hong, Wenke Yu, Kaicheng Li, Qingze Zeng, Xiao Luo, Xinfeng Yu, Jianzhong Sun, Minming Zhang, Peiyu Huang
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Lenticulostriate arteries (LSAs) supply blood to important subcortical areas and are, therefore, essential for maintaining the optimal functioning of the brain’s most metabolically active nuclei. Past studies have demonstrated the potential for qua
Externí odkaz:
https://doaj.org/article/1138c47b5d564090a0e41ffb133f5611
Autor:
Peiyu Huang, Zili Zhu, Ruiting Zhang, Xiao Wu, Yeerfan Jiaerken, Shuyue Wang, Wenke Yu, Hui Hong, Chunfeng Lian, Kaicheng Li, Qingze Zeng, Xiao Luo, Xiaopei Xu, Xinfeng Yu, Yunjun Yang, Minming Zhang
Publikováno v:
Frontiers in Aging Neuroscience, Vol 13 (2021)
Background: The dilation of perivascular space (PVS) has been widely used to reflect brain degeneration in clinical brain imaging studies. However, PVS characteristics exhibit large differences in healthy subjects. Such variations need to be better a
Externí odkaz:
https://doaj.org/article/2989c1fc45eb411888c6f9f0e7044b09
Publikováno v:
Remote Sensing, Vol 12, Iss 1, p 120 (2020)
In this study, we present a hyperspectral image classification method by combining spectral, spatial, and semantic information. The main steps of the proposed method are summarized as follows: First, principal component analysis transform is conducte
Externí odkaz:
https://doaj.org/article/30934ed3a18e4808aee8bf7b4875a053
Autor:
Jianxin Zhao, Yanhao Feng, Xinyu Chang, Peng Xu, Shilin Li, Chi Harold Liu, Wenke Yu, Jian Tang, Jon Crowcroft
Publikováno v:
IEEE Transactions on Network Science and Engineering. 10:1352-1363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::094b8c4104735a82d048cdddeee8d223
https://doi.org/10.1109/tnse.2022.3185672
https://doi.org/10.1109/tnse.2022.3185672