Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Meiyi Yan"'
Autor:
Zijie Zhao, Tim Gruenloh, Meiyi Yan, Yixuan Wu, Zhongxuan Sun, Jiacheng Miao, Yuchang Wu, Jie Song, Qiongshi Lu
Publikováno v:
Genome Biology, Vol 25, Iss 1, Pp 1-28 (2024)
Abstract Background Polygenic risk score (PRS) is a major research topic in human genetics. However, a significant gap exists between PRS methodology and applications in practice due to often unavailable individual-level data for various PRS tasks in
Externí odkaz:
https://doaj.org/article/7215d93b706c42faab8e813e4ae4fdaa
Autor:
Yi Wei, Meiyi Yang, Meng Zhang, Feifei Gao, Ning Zhang, Fubi Hu, Xiao Zhang, Shasha Zhang, Zixing Huang, Lifeng Xu, Feng Zhang, Minghui Liu, Jiali Deng, Xuan Cheng, Tianshu Xie, Xiaomin Wang, Nianbo Liu, Haigang Gong, Shaocheng Zhu, Bin Song, Ming Liu
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-14 (2024)
Abstract Diagnosing liver lesions is crucial for treatment choices and patient outcomes. This study develops an automatic diagnosis system for liver lesions using multiphase enhanced computed tomography (CT). A total of 4039 patients from six data ce
Externí odkaz:
https://doaj.org/article/dfd99ddafff148c8955a72ea1e2ed39a
Autor:
Yi Luo, Meiyi Yang, Xiaoying Liu, Liufeng Qin, Zhengjun Yu, Yunxia Gao, Xia Xu, Guofen Zha, Xuehua Zhu, Gang Chen, Xue Wang, Lulu Cao, Yuwang Zhou, Yun Fang
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
ObjectiveThe aim of this study was to enhance the precision of categorization of endometrial lesions in ultrasound images via a data enhancement framework based on deep learning (DL), through addressing diagnostic accuracy challenges, contributing to
Externí odkaz:
https://doaj.org/article/a1bd151cc2364d5997696d24db61085c
Autor:
Minghui Liu, Meiyi Yang, Jiali Deng, Xuan Cheng, Tianshu Xie, Pan Deng, Haigang Gong, Ming Liu, Xiaomin Wang
Publikováno v:
International Journal of Computational Intelligence Systems, Vol 16, Iss 1, Pp 1-12 (2023)
Abstract Over-fitting is a significant threat to the integrity and reliability of deep neural networks with generous parameters. One problem is that the model learned more specific features than general features in the training process. To solve the
Externí odkaz:
https://doaj.org/article/d3831f29335f41fdb62ecb765e3bfcc0
Autor:
Tianshu Xie, Yi Wei, Lifeng Xu, Qian Li, Feng Che, Qing Xu, Xuan Cheng, Minghui Liu, Meiyi Yang, Xiaomin Wang, Feng Zhang, Bin Song, Ming Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
Background and purposeProgrammed cell death protein-1 (PD-1) and programmed cell death-ligand-1 (PD-L1) expression status, determined by immunohistochemistry (IHC) of specimens, can discriminate patients with hepatocellular carcinoma (HCC) who can de
Externí odkaz:
https://doaj.org/article/85979f6c74014b0286bd347fbdb3dd47
Autor:
Meiyi Yang, Xiaopeng He, Lifeng Xu, Minghui Liu, Jiali Deng, Xuan Cheng, Yi Wei, Qian Li, Shang Wan, Feng Zhang, Lei Wu, Xiaomin Wang, Bin Song, Ming Liu
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundClear cell Renal Cell Carcinoma (ccRCC) is the most common malignant tumor in the urinary system and the predominant subtype of malignant renal tumors with high mortality. Biopsy is the main examination to determine ccRCC grade, but it can
Externí odkaz:
https://doaj.org/article/cd4ef0a731f04f32945565ff65e5167f
Publikováno v:
IEEE Access, Vol 8, Pp 30706-30719 (2020)
In vehicular communication, roadside infrastructure, such as WiFi APs, often requires a large amount of investment. In this paper, we propose the idea of Mobile Vehicular Offloading (MoVeOff), which doesn't require extra investment, but allows data t
Externí odkaz:
https://doaj.org/article/522f56a443964b83968fbe8fba9dce6d
Publikováno v:
Applied Sciences, Vol 12, Iss 15, p 7682 (2022)
In a convolutional neural network (CNN), dropout cannot work well because dropped information is not entirely obscured in convolutional layers where features are correlated spatially. Except for randomly discarding regions or channels, many approache
Externí odkaz:
https://doaj.org/article/c4e64704ecbd4359b43a0a2e6cf8d1d3
Autor:
Minghui Liu, Jiali Deng, Meiyi Yang, Xuan Cheng, Tianshu Xie, Pan Deng, Xiaomin Wang, Ming Liu
Publikováno v:
Applied Sciences, Vol 12, Iss 8, p 3910 (2022)
Generative Adversarial Networks (GANs) are powerful generative models for numerous tasks and datasets. However, most of the existing models suffer from mode collapse. The most recent research indicates that the reason for it is that the optimal trans
Externí odkaz:
https://doaj.org/article/eb64e2fb62b84578800722782bf2fdcc
Autor:
Qing Ren, Ruibin Zhao, Cheng Wang, Shangge Li, Tingting Zhang, Zongming Ren, Meiyi Yang, Hongwei Pan, Shiguo Xu, Jianping Zhu, Xun Wang
Publikováno v:
Journal of Toxicology, Vol 2017 (2017)
The unpredictable toxicity of insecticides may cause behavior disorder of biological organisms. In order to assess the role of acetylcholinesterase (AChE) in swimming behavior of Daphnia magna, a correlation analysis of both parameters in 24 h exposu
Externí odkaz:
https://doaj.org/article/10548688d2644ae2ade33820caa0b0e4