Zobrazeno 1 - 10
of 127
pro vyhledávání: '"Lan Shang"'
Autor:
Shiqing Yu, Yan Gao, Junzhu Lu, Guojin Zhang, Xinyue Chen, Rongping Zhang, Weifang Kong, Lan Shang
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The aim of this study was to explore the related factors linked to the development and infectivity of tuberculosis. This was achieved by comparing the clinical characteristics of patients with pulmonary tuberculosis (TB) who tested positive
Externí odkaz:
https://doaj.org/article/e31cd90f0600423b8976cee6fc16c768
Autor:
Weifang Kong, Bingzhu Long, Hongyun Huang, Fang Li, Yuefeng He, Xinyue Chen, Hong Pu, Guojin Zhang, Lan Shang
Publikováno v:
Frontiers in Cardiovascular Medicine, Vol 11 (2024)
IntroductionStress dynamic computed tomography myocardial perfusion imaging (CT-MPI) is an accurate quantitative method for diagnosing myocardial ischemia in coronary artery disease (CAD). However, its clinical application has been limited, partly du
Externí odkaz:
https://doaj.org/article/588c2deea79344f99e87794943c23ccf
Publikováno v:
Buildings, Vol 14, Iss 10, p 3128 (2024)
To address the challenge of quantitatively assessing the mentalization of emotions in color design schemes, this study uses Baidu Street View images and deep learning, integrates multi-source data, and innovatively constructs a color data model based
Externí odkaz:
https://doaj.org/article/e002c9e3048449cc8912b0a7426971ed
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-9 (2023)
Abstract Background Tuberculosis (TB) has a high morbidity and mortality rate, and its prevention and treatment focus is on impoverished areas. The Liangshan Yi Autonomous Prefecture is a typical impoverished area in western China with insufficient m
Externí odkaz:
https://doaj.org/article/bf11fa319b034f41b446c88312807246
Autor:
Qianwen Yang, Rongping Zhang, Yan Gao, Chaoxin Zhou, Weifang Kong, Wang Tao, Guojin Zhang, Lan Shang
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-8 (2023)
Abstract Background This study aimed to investigate the relationship between active pulmonary tuberculosis (TB) and type 2 diabetes mellitus (T2DM) by analysing the clinical features and computed tomography (CT) findings of patients with active pulmo
Externí odkaz:
https://doaj.org/article/0f9853be44ad4f228bb780b7bf20d557
Publikováno v:
APL Materials, Vol 12, Iss 2, Pp 021103-021103-9 (2024)
The efficient manipulation of magnetic skyrmions is crucial for the development of future spintronic devices. Here, we demonstrate the controllable arrangement of magnetic skyrmions through strain regulation in the bilayer film system composed of pie
Externí odkaz:
https://doaj.org/article/75f103987da5458291dd8f8e453c0f1c
Autor:
Guojin Zhang, Shenglin Li, Ke Yang, Lan Shang, Feng Zhang, Zixin Huang, Jialiang Ren, Zhuoli Zhang, Junlin Zhou, Hong Pu, Qiong Man, Weifang Kong
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundTo explore the value of dual-energy spectral CT in distinguishing solitary pulmonary tuberculosis (SP-TB) from solitary lung adenocarcinoma (S-LUAD).MethodsA total of 246 patients confirmed SP-TB (n = 86) or S-LUAD (n = 160) were retrospect
Externí odkaz:
https://doaj.org/article/6448e64f1561411fa8208bd57ccf5198
Autor:
Lan Shang, Fang Wang, Yan Gao, Chaoxin Zhou, Jian Wang, Xinyue Chen, Aamer Rasheed Chughtai, Hong Pu, Guojin Zhang, Weifang Kong
Publikováno v:
Frontiers in Oncology, Vol 12 (2022)
BackgroundThis study aimed to investigate the diagnostic value of machine-learning (ML) models with multiple classifiers based on non-enhanced CT Radiomics features for differentiating anterior mediastinal cysts (AMCs) from thymomas, and high-risk fr
Externí odkaz:
https://doaj.org/article/82d28c8405674cca881fe80462f8a22e
Publikováno v:
Frontiers in Surgery, Vol 9 (2022)
ObjectiveFluorodeoxyglucose Positron emission tomography/computerized tomography (FDG PET/CT) has become popular for diagnosing periprosthetic joint infections (PJI). However, the diagnostic accuracy for this technique has varied from report to repor
Externí odkaz:
https://doaj.org/article/06bbec1e0fc64e559899afc187da4f9a
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
Purpose: The aim of this study was to investigate the diagnostic value of machine-learning models with radiomic features and clinical features in preoperative differentiation of common lesions located in the anterior skull base.Methods: A total of 23
Externí odkaz:
https://doaj.org/article/44a836a3e6a046a699bf709a9f1c6714