Zobrazeno 51 - 60
of 319
pro vyhledávání: '"Sicong Wang"'
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
BackgroundPatients with pelvic and sacral tumors are prone to massive blood loss (MBL) during surgery, which may endanger their lives.PurposesThis study aimed to determine the feasibility of using deep neural network (DNN) and radiomics nomogram (RN)
Externí odkaz:
https://doaj.org/article/5d4da431413c44f883d0680028738aa2
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
PurposeTo assess the performance of random forest (RF)-based radiomics approaches based on 3D computed tomography (CT) and clinical features to predict the types of pelvic and sacral tumors.Materials and MethodsA total of 795 patients with pathologic
Externí odkaz:
https://doaj.org/article/f75926ec871547e0ac9b90f517b44211
Autor:
Xuefeng Zhao, Mengxuan Li, Zhe Sun, Yue Zhao, Yihao Gai, Jingjing Wang, Chun Huang, Lei Yu, Sicong Wang, Meng Zhang, Lingli Huang
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 7118 (2022)
Intelligent construction and management processes are essential to ensure the efficiency of planting and maintenance of landscapes in large-scale projects. Unfortunately, various challenges still exist for achieving such a vision. For instance, creat
Externí odkaz:
https://doaj.org/article/614e8d4fcf784da298b3954b69c63b12
Autor:
Ying Liu, Minghao Wu, Yuwei Zhang, Yahong Luo, Shuai He, Yina Wang, Feng Chen, Yulin Liu, Qian Yang, Yanying Li, Hong Wei, Hong Zhang, Chenwang Jin, Nian Lu, Wanhu Li, Sicong Wang, Yan Guo, Zhaoxiang Ye
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectiveWe aimed to identify imaging biomarkers to assess predictive capacity of radiomics nomogram regarding treatment response status (responder/non-responder) in patients with advanced NSCLC undergoing anti-PD1 immunotherapy.Methods197 eligible p
Externí odkaz:
https://doaj.org/article/a96ec22fe7274dc5a861db4e3105bca5
Autor:
Li Zhao, Xiaohong Ma, Meng Liang, Dengfeng Li, Peiqing Ma, Sicong Wang, Zhiyuan Wu, Xinming Zhao
Publikováno v:
Cancer Imaging, Vol 19, Iss 1, Pp 1-10 (2019)
Abstract Background Partial hepatectomy is the first option for intrahepatic mass-forming cholangiocarcinoma (IMCC) treatment, which would prolong survival. The main reason for the poor outcome after curative resection is the high incidence of early
Externí odkaz:
https://doaj.org/article/c0e69b617c494c5fa9875492c062645d
Integrating Coronary Plaque Information from CCTA by ML Predicts MACE in Patients with Suspected CAD
Autor:
Guanhua Dou, Dongkai Shan, Kai Wang, Xi Wang, Zinuan Liu, Wei Zhang, Dandan Li, Bai He, Jing Jing, Sicong Wang, Yundai Chen, Junjie Yang
Publikováno v:
Journal of Personalized Medicine, Vol 12, Iss 4, p 596 (2022)
Conventional prognostic risk analysis in patients undergoing noninvasive imaging is based upon a limited selection of clinical and imaging findings, whereas machine learning (ML) algorithms include a greater number and complexity of variables. Theref
Externí odkaz:
https://doaj.org/article/ef389ea6dd524b15bcb648f6c4f62890
Publikováno v:
Frontiers in Oncology, Vol 11 (2021)
ObjectivesThis study aims to assess the performance of radiomics approaches based on 3D computed tomography (CT), clinical and semantic features in predicting the pathological classification of thymic epithelial tumors (TETs).MethodsA total of 190 pa
Externí odkaz:
https://doaj.org/article/63fd6598a0414cb7b8a61e283db2ba52
Autor:
Ryan F. Townshend, Yue Shao, Sicong Wang, Chari L. Cortez, Sajedeh Nasr Esfahani, Jason R. Spence, K. Sue O’Shea, Jianping Fu, Deborah L. Gumucio, Kenichiro Taniguchi
Publikováno v:
Frontiers in Cell and Developmental Biology, Vol 8 (2020)
Neural rosettes (NPC rosettes) are radially arranged groups of cells surrounding a central lumen that arise stochastically in monolayer cultures of human pluripotent stem cell (hPSC)-derived neural progenitor cells (NPC). Since NPC rosette formation
Externí odkaz:
https://doaj.org/article/9375d16dd074417da9596bd468b05bc6
Publikováno v:
Frontiers in Oncology, Vol 10 (2020)
PurposeTo assess the performance of deep neural network (DNN) and machine learning based radiomics on 3D computed tomography (CT) and clinical characteristics to predict benign or malignant sacral tumors.Materials and methodsThis single-center retros
Externí odkaz:
https://doaj.org/article/043d3820357d4e2980e340da7db82f31
Publikováno v:
AIP Advances, Vol 10, Iss 9, Pp 095310-095310-5 (2020)
Millijoule-energy few-cycle laser pulses excite the plasma wakefield and accelerate electrons at kilohertz repetition rate, generating mega-electron volt (MeV) electron bunches with femtosecond temporal duration for ultrafast electron diffraction app
Externí odkaz:
https://doaj.org/article/49bcbbacf8374d9aa40a86012492c25f