Zobrazeno 1 - 10
of 445
pro vyhledávání: '"Linlin Shen"'
Autor:
Lei Hou, Jawwad Latif, Pouyan Mehryar, Stephen Withers, Angelos Plastropoulos, Linlin Shen, Zulfiqur Ali
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-11 (2024)
Abstract Assistive powered wheelchairs will bring patients and elderly the ability of remain mobile without the direct intervention from caregivers. Vital signs from users can be collected and analyzed remotely to allow better disease prevention and
Externí odkaz:
https://doaj.org/article/84c7b9257a474e9eb434ab48c12b8f21
Autor:
Jiaying Chen, Xuxuan Gao, Jingru Liang, Qiheng Wu, Linlin Shen, Yifeng Zheng, Yu Ma, Yuping Peng, Yan He, Jia Yin
Publikováno v:
mSystems, Vol 9, Iss 6 (2024)
ABSTRACT Acute ischemic stroke (AIS) patients with active COVID-19 infection often have more severe symptoms and worse recovery. COVID-19 infection can cause gut microbiota dysbiosis, which is also a risk factor for poor outcomes in AIS patients. How
Externí odkaz:
https://doaj.org/article/5834d565197c4586ba416d4d6c9b61e8
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-8 (2023)
Abstract Facial stimuli have gained increasing popularity in research. However, the existing Chinese facial datasets primarily consist of static facial expressions and lack variations in terms of facial aging. Additionally, these datasets are limited
Externí odkaz:
https://doaj.org/article/8f3c8f836e40410e8ad47d975d6eadd2
Autor:
Haiqin Xie, Yudi Zhang, Licong Dong, Heng Lv, Xuechen Li, Chenyang Zhao, Yun Tian, Lu Xie, Wangjie Wu, Qi Yang, Li Liu, Desheng Sun, Li Qiu, Linlin Shen, Yusen Zhang
Publikováno v:
Frontiers in Oncology, Vol 14 (2024)
BackgroundSoft tissue tumors (STTs) are benign or malignant superficial neoplasms arising from soft tissues throughout the body with versatile pathological types. Although Ultrasonography (US) is one of the most common imaging tools to diagnose malig
Externí odkaz:
https://doaj.org/article/8d7bed35526d4f32b7bc4f3940f05998
Publikováno v:
IET Computer Vision, Vol 17, Iss 7, Pp 829-843 (2023)
Abstract Anomaly detection is a challenging task, especially detecting and segmenting tiny defect regions in images without anomaly priors. Although deep encoder‐decoder‐based convolutional neural networks have achieved good anomaly detection res
Externí odkaz:
https://doaj.org/article/d389f247a4434a25859f05563ad25d70
Publikováno v:
IEEE Access, Vol 11, Pp 84699-84708 (2023)
Single-image haze removal is a challenging ill-posed problem. Recently, methods based on training on synthetic data have achieved good dehazing results. However, we note that these methods can be further improved. A novel deep learning-based method i
Externí odkaz:
https://doaj.org/article/20f816620ae247849b7baf254bfe2e11
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
IntroductionTo develop a novel deep learning model to automatically grade adenoid hypertrophy, based on nasal endoscopy, and asses its performance with that of E.N.T. clinicians.MethodsA total of 3,179 nasoendoscopic images, including 4-grade adenoid
Externí odkaz:
https://doaj.org/article/d5f0097575ed484b9e0cc3ede6da03a9
Publikováno v:
Frontiers in Neuroscience, Vol 17 (2023)
IntroductionCaricature is an exaggerated pictorial representation of a person, which is widely used in entertainment and political media. Recently, GAN-based methods achieved automatic caricature generation through transferring caricature style and p
Externí odkaz:
https://doaj.org/article/74dd87c0f6de4d3d88170e958c8fc6f6
Publikováno v:
Cognitive Computation and Systems, Vol 3, Iss 3, Pp 276-285 (2021)
Abstract In microservice systems, availability can be ensured through a variety of measures, such as fault tolerance and flow limiting, which are collectively called the flow control. In the current mainstream system design, the flow control rules ar
Externí odkaz:
https://doaj.org/article/600a207d242c47619d32067154348c26
Autor:
Yu Xu, Wei Ye, Qiuyue Song, Linlin Shen, Yu Liu, Yuhang Guo, Gang Liu, Hongmei Wu, Xia Wang, Xiaorong Sun, Li Bai, Chunmei Luo, Tongquan Liao, Hao Chen, Caiping Song, Chunji Huang, Yazhou Wu, Zhi Xu
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
BackgroundFactors that may influence the recovery of patients with confirmed SARS-CoV-2 infection hospitalized in the Fangcang shelter were explored, and machine learning models were constructed to predict the duration of recovery during the Omicron
Externí odkaz:
https://doaj.org/article/7db8cf2509aa45f29c6de0e407c2aec2