Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Yue-Fei Guo"'
Autor:
Xiao-Ling Zou, Yong Ren, Ding-Yun Feng, Xu-Qi He, Yue-Fei Guo, Hai-Ling Yang, Xian Li, Jia Fang, Quan Li, Jun-Jie Ye, Lan-Qing Han, Tian-Tuo Zhang
Publikováno v:
PLoS ONE, Vol 15, Iss 7, p e0236378 (2020)
BackgroundTo date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there has been limited development of a rapid, simple, and effective way to screen the disease. The purpose of this study is to develop a deep learning approach
Externí odkaz:
https://doaj.org/article/598b83ce5a214053b44d581e2c995be8
Autor:
Rongpu Liang, Tufeng Chen, Jin Wang, Yue-Fei Guo, Lan-Qing Han, Yong Ren, Bo Wei, Yong Huang, Jun Shao, Jianpei Liu, Shengxin Huang, Hongbo Wei, Xudong Zhu, Weize Liu, Zikai Cai, Zongheng Zheng, Sidong Xie, Bingjun He, Dongbing Ding
Publikováno v:
SSRN Electronic Journal.
Background: Preoperative evaluation of the T stage and prognosis of colorectal cancer (CRC) is vital for patients' management. Some of the known limitations of conventional computed tomography (CT) in the diagnosis of CRC needs to be resolved. Theref
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::416b16e808dcd01bd6c7840feb695a73
https://doi.org/10.2139/ssrn.3900665
https://doi.org/10.2139/ssrn.3900665
Autor:
Li Quan, Ding-Yun Feng, Xu-Qi He, Hai-Ling Yang, Yong Ren, Yue-Fei Guo, Xiao-Ling Zou, Jia Fang, Lan-Qing Han, Xian Li, Tian-tuo Zhang, Ye Junjie
Publikováno v:
PLoS ONE
PLoS ONE, Vol 15, Iss 7, p e0236378 (2020)
PLoS ONE, Vol 15, Iss 7, p e0236378 (2020)
BackgroundTo date, the missed diagnosis rate of pulmonary hypertension (PH) was high, and there has been limited development of a rapid, simple, and effective way to screen the disease. The purpose of this study is to develop a deep learning approach
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::09545d382f9eec82926e4ea087cd3682
http://europepmc.org/articles/PMC7380616
http://europepmc.org/articles/PMC7380616
Autor:
Liang-Hong Yin, Nan Jiang, Yue-Fei Guo, Jie Chen, Chencui Huang, Qing Lv, Jie Qin, Tian-tuo Zhang, Ding-Yun Feng, Xinghua Guo, Yu-Qi Zhou, Yan-Fang Xing, Xing Li, Hai-Tao Hu, Jie Dong, Chuang-Feng Li
Publikováno v:
Therapeutics and Clinical Risk Management
Ding-Yun Feng,1,* Yu-Qi Zhou,1,* Yan-Fang Xing,2,* Chuang-Feng Li,3 Qing Lv,4 Jie Dong,5 Jie Qin,3 Yue-Fei Guo,3 Nan Jiang,6 Chencui Huang,7 Hai-Tao Hu,8 Xing-Hua Guo,9 Jie Chen,10 Liang-Hong Yin,11 Tian-Tuo Zhang,1 Xing Li12 1Department of Respirati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4fd3d4a2fd7dd421913e18fa3202e6f
http://europepmc.org/articles/PMC6188005
http://europepmc.org/articles/PMC6188005
Autor:
Li-Yi Zhang, Ding-Yun Feng, Yue-Fei Guo, Yan-Ying Ji, Wei-Hua Zeng, Wei-Zhan Li, Yu-Qi Zhou, Tian-tuo Zhang, Xing Li
Publikováno v:
OncoTargets and therapy
Xing Li,1,* Wei-Hua Zeng,2,* Yu-Qi Zhou,3,* Yan-Ying Ji,4 Wei-Zhan Li,2 Li-Yi Zhang,3 Yue-Fei Guo,5 Ding-Yun Feng,3 Tian-Tuo Zhang3 1Department of Oncology and Guangdong Key Laboratory of Liver Disease, The Third Affiliated Hospital of Sun Yat-sen Un
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1a203461e3e173b371f7aa5dde5d89c
https://www.dovepress.com/neutrophil-to-lymphocyte-ratio-predicted-long-term-chemotherapy-benefi-peer-reviewed-article-OTT
https://www.dovepress.com/neutrophil-to-lymphocyte-ratio-predicted-long-term-chemotherapy-benefi-peer-reviewed-article-OTT
Publikováno v:
Decision Support Systems. 53:395-405
Traditional Support Vector Machines (SVMs) based learners are commonly regarded as strong classifiers for many learning tasks. Their efficiency for large-scale high dimensional data, however, has shown to be unsatisfactory. Consequently, many alterna
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de503965dbb41bf3d7a14ab21c172190
https://doi.org/10.1016/j.dss.2012.02.007
https://doi.org/10.1016/j.dss.2012.02.007
Publikováno v:
Pattern Recognition. 45:1211-1219
In this paper, a covariance-free iterative algorithm is developed to achieve distributed principal component analysis on high-dimensional data sets that are vertically partitioned. We have proved that our iterative algorithm converges monotonously wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bb29acd5520a428dfa01bfa09d4f374a
https://doi.org/10.1016/j.patcog.2011.09.002
https://doi.org/10.1016/j.patcog.2011.09.002
Publikováno v:
Journal of Software. 20:2153-2159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7eb5ff3fdc7cdb151730159638f49cba
https://doi.org/10.3724/sp.j.1001.2009.03391
https://doi.org/10.3724/sp.j.1001.2009.03391
Publikováno v:
Pattern Recognition. 41:2086-2096
In this paper, we learn a distance metric in favor of classification task from available labeled samples. Multi-class data points are supposed to be pulled or pushed by discriminant neighbors. We define a discriminant adjacent matrix in favor of clas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9691ed765c7e39e6249bf6429d44065c
https://doi.org/10.1016/j.patcog.2007.11.023
https://doi.org/10.1016/j.patcog.2007.11.023
Publikováno v:
Pattern Recognition. 39:2240-2243
In this paper a novel subspace learning method called discriminant neighborhood embedding (DNE) is proposed for pattern classification. We suppose that multi-class data points in high-dimensional space tend to move due to local intra-class attraction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdc16cefe1f39ca444556cf6269e2488
https://doi.org/10.1016/j.patcog.2006.05.011
https://doi.org/10.1016/j.patcog.2006.05.011