Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Yusong Lin"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3283-3304 (2024)
Abstract Task offloading solves the problem that the computing resources of terminal devices in hospitals are limited by offloading massive radiomics-based medical image diagnosis model (RIDM) tasks to edge servers (ESs). However, sequential offloadi
Externí odkaz:
https://doaj.org/article/0f48b3a04f0d4110b7f0e1ed8def2d96
Publikováno v:
PeerJ Computer Science, Vol 9, p e1239 (2023)
Computation offloading has effectively solved the problem of terminal devices computing resources limitation in hospitals by shifting the medical image diagnosis task to the edge servers for execution. Appropriate offloading strategies for diagnostic
Externí odkaz:
https://doaj.org/article/f5e97324288a451992b501c32f59fc7f
Autor:
Guohua Zhao, Jie Bai, Pei Pei Wang, Guan Yang, Lei Shi, Yongcai Tao, Yusong Lin, Jingliang Cheng
Publikováno v:
IEEE Access, Vol 8, Pp 158512-158522 (2020)
The access to and sharing of medical image data is essential to accelerate the research progress of complex diseases and sudden disease outbreaks. Multicenter image data is collected from different medical institutions, and the contrast and brightnes
Externí odkaz:
https://doaj.org/article/9913302438f64f5e9f1f84c7ab497cbe
Autor:
Qingxia Wu, Kuan Yao, Zhenyu Liu, Longfei Li, Xin Zhao, Shuo Wang, Honglei Shang, Yusong Lin, Zejun Wen, Jie Tian, Meiyun Wang
Publikováno v:
EBioMedicine, Vol 50, Iss , Pp 355-365 (2019)
Background: Identification of pregnancies with postpartum haemorrhage (PPH) antenatally rather than intrapartum would aid delivery planning, facilitate transfusion requirements and decrease maternal complications. MRI has been increasingly used for p
Externí odkaz:
https://doaj.org/article/a2fe523f855f4db8a89478485d4dc400
Autor:
Ziren Kong, Yusong Lin, Chendan Jiang, Longfei Li, Zehua Liu, Yuekun Wang, Congxin Dai, Delin Liu, Xuying Qin, Yu Wang, Zhenyu Liu, Xin Cheng, Jie Tian, Wenbin Ma
Publikováno v:
Cancer Imaging, Vol 19, Iss 1, Pp 1-10 (2019)
Abstract Background The methylation status of the O6-methylguanine-DNA methyltransferase (MGMT) promoter has emerged as a favorable independent prognostic and predictive biomarker in glioma. This study aimed to build a radiomics signature based on 18
Externí odkaz:
https://doaj.org/article/05a98888287b42beb5971e0ea338f48c
Autor:
Zhenyu Liu, Jiangang Liu, Huijuan Yuan, Taiyuan Liu, Xingwei Cui, Zhenchao Tang, Yang Du, Meiyun Wang, Yusong Lin, Jie Tian
Publikováno v:
Genomics, Proteomics & Bioinformatics, Vol 17, Iss 4, Pp 441-452 (2019)
Majority of type 2 diabetes mellitus (T2DM) patients are highly susceptible to several forms of cognitive impairments, particularly dementia. However, the underlying neural mechanism of these cognitive impairments remains unclear. We aimed to investi
Externí odkaz:
https://doaj.org/article/925131492f12471298e845180ae4e753
Publikováno v:
BMC Medical Imaging, Vol 19, Iss 1, Pp 1-14 (2019)
Abstract Background The automatic glioma segmentation is of great significance for clinical practice. This study aims to propose an automatic method based on superpixel for glioma segmentation from the T2 weighted Magnetic Resonance Imaging. Methods
Externí odkaz:
https://doaj.org/article/0245d9f154e645bf946e867e66461811
Publikováno v:
IEEE Access, Vol 7, Pp 52246-52256 (2019)
Grading of glioma is crucial for treatment decision making as well as prognostic assessments. In clinical routines, radiologists grade gliomas with multiple complementary magnetic resonance imaging (MRI) sequences, which is yet challenging for glioma
Externí odkaz:
https://doaj.org/article/d3054c9b318249cbab0a504acdbc9b23
Autor:
Qingxia Wu, Kuan Yao, Zhenyu Liu, Longfei Li, Xin Zhao, Shuo Wang, Honglei Shang, Yusong Lin, Zejun Wen, Xiaoan Zhang, Jie Tian, Meiyun Wang
Publikováno v:
EBioMedicine, Vol 55, Iss , Pp - (2020)
Externí odkaz:
https://doaj.org/article/40a56f37d655449387b3b72881bb5853
Autor:
Longfei Li, Wei Mu, Yaning Wang, Zhenyu Liu, Zehua Liu, Yu Wang, Wenbin Ma, Ziren Kong, Shuo Wang, Xuezhi Zhou, Wei Wei, Xin Cheng, Yusong Lin, Jie Tian
Publikováno v:
Frontiers in Oncology, Vol 9 (2019)
Purpose: We aimed to analyze 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) images via the radiomic method to develop a model and validate the potential value of features reflecting glioma metabolism for predicting isocitrate dehyd
Externí odkaz:
https://doaj.org/article/ed69ca51d73048c997b496b9986556fc