Zobrazeno 1 - 10
of 85
pro vyhledávání: '"Fubao Zhu"'
Publikováno v:
Symmetry, Vol 16, Iss 8, p 1008 (2024)
Role-based access control (RBAC) is a widely adopted access control model in various domains for defining security management. Role mining is closely related to role-based access control, as the latter employs role assignments to offer a flexible and
Externí odkaz:
https://doaj.org/article/ee066b938dda434589cc7bb6050603f0
Publikováno v:
IET Image Processing, Vol 17, Iss 8, Pp 2309-2320 (2023)
Abstract Liver image segmentation is an attractive topic in the diagnosis and surgical planning of liver diseases. Although deep learning methods have significantly advanced liver segmentation, existing frameworks fail to clearly determine liver boun
Externí odkaz:
https://doaj.org/article/0e10eee905764e769333e3564f2fc7cf
Autor:
Fubao Zhu1, Zelin Zhu1, Yijun Zhang2, Hanlei Zhu1, Zhengyuan Gao1, Xiaoman Liu1, Guanbin Zhou3, Yan Xu2 xuyan@shphc.org.cn, Fei Shan2 shanfei_2901@163.com, Zhu, Fubao1 (AUTHOR), Zhu, Zelin1 (AUTHOR), Zhang, Yijun2 (AUTHOR), Zhu, Hanlei1 (AUTHOR), Gao, Zhengyuan1 (AUTHOR), Liu, Xiaoman1 (AUTHOR), Zhou, Guanbin3 (AUTHOR), Xu, Yan2 (AUTHOR), Shan, Fei2 (AUTHOR)
Publikováno v:
Technology & Health Care. 2022, Vol. 30 Issue 6, p1299-1314. 16p.
Analyze Informant-Based Questionnaire for The Early Diagnosis of Senile Dementia Using Deep Learning
Autor:
Fubao Zhu, Xiaonan Li, Daniel Mcgonigle, Haipeng Tang, Zhuo He, Chaoyang Zhang, Guang-Uei Hung, Pai-Yi Chiu, Weihua Zhou
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-6 (2020)
Objective: This paper proposes a multiclass deep learning method for the classification of dementia using an informant-based questionnaire. Methods: A deep neural network classification model based on Keras framework is proposed in this paper. To eva
Externí odkaz:
https://doaj.org/article/7aa6922aa7644fdd9fec1e27b9cde9ef
Autor:
Fubao Zhu, Guojie Wang, Chen Zhao, Saurabh Malhotra, Min Zhao, Zhuo He, Jianzhou Shi, Zhixin Jiang, Weihua Zhou
Publikováno v:
Journal of Nuclear Cardiology.
Autor:
Ni Yao, Longxi Li, Zhengyuan Gao, Chen Zhao, Yanting Li, Chuang Han, Jiaofen Nan, Zelin Zhu, Yi Xiao, Fubao Zhu, Min Zhao, Weihua Zhou
Purpose Orbital 99mTc-DTPA SPECT/CT is an important new method for the assessment of inflammatory activity in patients with Graves' Orbitopathy (GO), but it consumes a heavy workload for physicians for interpretation. We aim to propose an automated m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b5a54ea6ea9244dda0cb267f67ac414
https://doi.org/10.21203/rs.3.rs-2093091/v1
https://doi.org/10.21203/rs.3.rs-2093091/v1
Autor:
Fubao Zhu, Longxi Li, Jinyu Zhao, Chen Zhao, Shaojie Tang, Jiaofen Nan, Yanting Li, Zhongqiang Zhao, Jianzhou Shi, Zenghong Chen, Chuang Han, Zhixin Jiang, Weihua Zhou
Publikováno v:
Computers in Biology and Medicine. 160:106954
Autor:
Yinghui Meng, Minghao Dong, Xumin Dai, Haipeng Tang, Chen Zhao, Jingfeng Jiang, Shun Xu, Ying Zhou, Fubao Zhu, Zhihui Xu, Weihua Zhou
Publikováno v:
Technology and health care : official journal of the European Society for Engineering and Medicine. 30(5)
BACKGROUND: Automatic identification of proper image frames at the end-diastolic (ED) and end-systolic (ES) frames during the review of invasive coronary angiograms (ICA) is important to assess blood flow during a cardiac cycle, reconstruct the 3D ar
Autor:
Kun Lou, Fubao Zhu, Xinli Li, Yanyun Liu, Weihua Zhou, Zhuo He, Yanhui Sheng, Xiangqing Kong, Dongxu Xu, Rong Yang, Hao Zhang, Haifeng Zhang
Publikováno v:
Kardiologiia. 60:96-101
Objective This paper aims to investigate whether machine learning (ML) can be used to predict the state of pulmonary hypertension (PH), including pre-capillary and post-capillary, from echocardiographic data.Methods Two hundred and seventy-five patie
Autor:
Weihua Zhou, Zhuo He, Chaoyang Zhang, Pai-Yi Chiu, Fubao Zhu, Xiaonan Li, Guang-Uei Hung, Haipeng Tang
Publikováno v:
Scientific Programming, Vol 2020 (2020)
Objective. The reliable diagnosis remains a challenging issue in the early stages of dementia. We aimed to develop and validate a new method based on machine learning to help the preliminary diagnosis of normal, mild cognitive impairment (MCI), very