Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Yunzhao Luo"'
Autor:
Feng Xu, Chuang Zhu, Zhihao Wang, Lei Zhang, Haifeng Gao, Zhenhai Ma, Yue Gao, Yang Guo, Xuewen Li, Yunzhao Luo, Mengxin Li, Guangqian Shen, He Liu, Yanshuang Li, Chao Zhang, Jianxiu Cui, Jie Li, Hongchuan Jiang, Jun Liu
Publikováno v:
Frontiers in Oncology, Vol 13 (2023)
ObjectiveAs a common breast cancer-related complaint, pathological nipple discharge (PND) detected by ductoscopy is often missed diagnosed. Deep learning techniques have enabled great advances in clinical imaging but are rarely applied in breast canc
Externí odkaz:
https://doaj.org/article/9b23dcc48aca47d0913a5ee2acac7c98
Publikováno v:
Technology in Cancer Research & Treatment, Vol 22 (2023)
Background: Lymph node downstaging and the achievement of total-pCR (ypT0/is ypN0) after neoadjuvant therapy are of great importance in HER-2 positive breast cancer. We aim to provide an overall review of neoadjuvant regimens for lymph node downstagi
Externí odkaz:
https://doaj.org/article/c7ffb86c47e346b78f8140fe62c672b8
Publikováno v:
Quality and Reliability Engineering International. 27:877-884
We propose a new multivariate CUSUM control chart, which is based on self adaption of its reference value according to the information from current process readings, to quickly detect the multivariate process mean shifts. By specifying the minimum ma
Publikováno v:
Computational Statistics & Data Analysis. 54:1634-1645
Control charts based on generalized likelihood ratio test (GLRT) are attractive from both theoretical and practical points of view. Most of the existing works in the literature focusing on the detection of the process mean and variance are almost bas
Publikováno v:
International Journal of Production Research. 48:4861-4876
Recently, adaptive control charts (that is, with variable sample sizes and/or sampling intervals) for univariate or multivariate quality characteristics have received considerable attention in Phase II analysis in the literature. Due to insufficient
Publikováno v:
Computational Statistics & Data Analysis. 53:2693-2701
The standard cumulative sum chart (CUSUM) is widely used for detecting small and moderate process mean shifts, and its optimal detection ability for any pre-specified mean shift has been demonstrated by its equivalence to continuous sequential tests.