Zobrazeno 1 - 10 of 23 pro vyhledávání: '"Xingyun Geng"'
1
Using Radiomic Features to Predict Visual Prognosis of Idiopathic Macular Hole Surgery
Autor: Yi Xu, Xingyun Geng, Zhuoran Zhao, Jun Zhu
Publikováno v: Journal of Medical Imaging and Health Informatics. 10:2773-2777
Idiopathic macular holes (IMH) are a leading cause of vision loss in middle-aged and older people. IMH is usually treated surgically by vitrectomy. Improvement in visual acuity is used to assess the prognosis of macular hole surgery. To achieve bette
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0860bf05646681f5ba978c881ac0a685
https://doi.org/10.1166/jmihi.2020.32142773
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3
Akademický článek
A self-adaptive distance regularized level set evolution method for optical disk segmentation.
Autor: Huiqun Wu1,2, Xingyun Geng1, Xiaofeng Zhang1, Mingyan Qiu1, Kui Jiang1, Lemin Tang3, Jiancheng Dong1 dongjc@ntu.edu.cn
Publikováno v: Bio-Medical Materials & Engineering. 2014, Vol. 24 Issue 6, p3199-3206. 8p.
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5
Area and volume ratios for prediction of visual outcome in idiopathic macular hole
Autor: Xingyun Geng, Huiqun Wu, Jiancheng Dong, Jiehui Jiang, Zhuangzhi Yan, Kui Jiang, Yi Xu, Jun Zhu
Publikováno v: International Journal of Ophthalmology, Vol 10, Iss 8, Pp 1255-1260 (2017)
AIM: To predict the visual outcome in patients undergoing macular hole surgery by two novel three-dimensional morphological parameters on optical coherence tomography (OCT): area ratio factor (ARF) and volume ratio factor (VRF). METHODS: A clinical c
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d754585894a2bd7264ce3e14a029152b
http://www.ijo.cn/en_publish/2017/8/20170812.pdf
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7
The Development of a Smart Personalized Evidence Based Medicine Diabetes Risk Factor Calculator
Autor: Xinping Hu, Huiqun Wu, Jiancheng Dong, Defu He, Yujuan Shang, Xinlu Yuan, Xingyun Geng, Lei Wang, Kui Jiang, Ruyi Zou, Xiaowei Ni
Publikováno v: Smart Health ISBN: 9783030036485
ICSH
Type 2 diabetes mellitus (T2DM) is a chronic disease affected with complex risk factors and has been regarded as one of the major social burdens due to its high occurrence. In this study, we aim to incorporate the idea of evidence based medicine (EBM
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::537d27b37d0f9a4472344fdd94faeb7d
https://doi.org/10.1007/978-3-030-03649-2_29
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9
Clinic expert information extraction based on domain model and block importance model
Autor: Danmin Qian, Xingyun Geng, Dengfu Yao, Jiancheng Dong, Yuanpeng Zhang, Li Wang
Publikováno v: Computers in Biology and Medicine. 66:337-342
To extract expert clinic information from the Deep Web, there are two challenges to face. The first one is to make a judgment on forms. A novel method based on a domain model, which is a tree structure constructed by the attributes of query interface
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1b8a30977b3345df8f805d6e1ab95fd0
https://doi.org/10.1016/j.compbiomed.2015.07.009
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10
[Study on Information Extraction of Clinic Expert Information from Hospital Portals]
Autor: Yuanpeng, Zhang, Jiancheng, Dong, Danmin, Qian, Xingyun, Geng, Huiqun, Wu, Li, Wang
Publikováno v: Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi. 32(6)
Clinic expert information provides important references for residents in need of hospital care. Usually, such information is hidden in the deep web and cannot be directly indexed by search engines. To extract clinic expert information from the deep w
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::af1ced97722dff5abeefa73c3b64cca0
https://pubmed.ncbi.nlm.nih.gov/27079096
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