Zobrazeno 1 - 10
of 165
pro vyhledávání: '"Zhuangzhi Yan"'
Autor:
Ronghua Ling, Min Wang, Jiaying Lu, Shaoyou Wu, Ping Wu, Jingjie Ge, Luyao Wang, Yingqian Liu, Juanjuan Jiang, Kuangyu Shi, Zhuangzhi Yan, Chuantao Zuo, Jiehui Jiang
Publikováno v:
Brain Sciences, Vol 14, Iss 7, p 680 (2024)
The differential diagnosis between atypical Parkinsonian syndromes may be challenging and critical. We aimed to proposed a radiomics-guided deep learning (DL) model to discover interpretable DL features and further verify the proposed model through t
Externí odkaz:
https://doaj.org/article/9017d946d5344354889a91bee4eb817d
Autor:
Bingbing Xiao, Haotian Sun, You Meng, Yunsong Peng, Xiaodong Yang, Shuangqing Chen, Zhuangzhi Yan, Jian Zheng
Publikováno v:
BioMedical Engineering OnLine, Vol 20, Iss 1, Pp 1-20 (2021)
Abstract Background The classification of benign and malignant microcalcification clusters (MCs) is an important task for computer-aided diagnosis (CAD) of digital breast tomosynthesis (DBT) images. Influenced by imaging method, DBT has the character
Externí odkaz:
https://doaj.org/article/6807f91ee8a64c38928ecf364ae22274
Autor:
Wenju Cui, Caiying Yan, Zhuangzhi Yan, Yunsong Peng, Yilin Leng, Chenlu Liu, Shuangqing Chen, Xi Jiang, Jian Zheng, Xiaodong Yang
Publikováno v:
Frontiers in Neuroscience, Vol 16 (2022)
18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) reveals altered brain metabolism in individuals with mild cognitive impairment (MCI) and Alzheimer’s disease (AD). Some biomarkers derived from FDG-PET by computer-aided-diagnosis (CAD
Externí odkaz:
https://doaj.org/article/55edb00cfa894785856475dac31ea96e
Publikováno v:
Mathematical Biosciences and Engineering, Vol 16, Iss 6, Pp 7546-7561 (2019)
Medical ultrasound images are corrupted by speckle noise, and despeckling methods are required to effectively and efficiently reduce speckle noise while simultaneously preserving details of tissues. This paper proposes a despeckling approach named th
Externí odkaz:
https://doaj.org/article/cf381fae43034c38b96364f7274bf66d
Publikováno v:
Brain Sciences, Vol 12, Iss 9, p 1149 (2022)
Background: Mild cognitive impairment (MCI) is a transitional stage between normal aging and probable Alzheimer’s disease. It is of great value to screen for MCI in the community. A novel machine learning (ML) model is composed of electroencephalog
Externí odkaz:
https://doaj.org/article/baf86f1b35cd425e9a55951c0a686946
Publikováno v:
Diagnostics, Vol 12, Iss 3, p 653 (2022)
Tongue color is an important part of tongue diagnosis. The change of tongue color is affected by pathological state of body, blood rheology, and other factors. Therefore, physicians can understand a patient’s condition by observing tongue color. Cu
Externí odkaz:
https://doaj.org/article/e0d70ae2815f41499f7922abbb80c4de
Publikováno v:
Behavioural Neurology, Vol 2020 (2020)
Objective. Glucose-based positron emission tomography (PET) imaging has been widely used to predict the progression of mild cognitive impairment (MCI) into Alzheimer’s disease (AD) clinically. However, existing discriminant methods are unsubtle to
Externí odkaz:
https://doaj.org/article/45f937c88cc547f5bac54ccaf00e29ca
Autor:
Lili Zhao, Changpeng Han, Yuexia Shu, Minglei Lv, Ying Liu, Tianyang Zhou, Zhuangzhi Yan, Xin Liu
Publikováno v:
IEEE Access, Vol 6, Pp 5438-5446 (2018)
In super-resolution localization microscopy, e.g., stochastic optical reconstruction microscopy or photoactivated localization microscopy, a long acquisition time is required because of stochastic imaging nature, which limits its application in dynam
Externí odkaz:
https://doaj.org/article/d54249832c3f47418b763b808491c8ea
Autor:
Ting Shen MsD, Jiehui Jiang PhD, Jiaying Lu MD, Min Wang MsD, Chuantao Zuo MD, PhD, Zhihua Yu, Zhuangzhi Yan PhD
Publikováno v:
Molecular Imaging, Vol 18 (2019)
Objective: Accurate diagnosis of early Alzheimer disease (AD) plays a critical role in preventing the progression of memory impairment. We aimed to develop a new deep belief network (DBN) framework using 18F-fluorodeoxyglucose (FDG) positron emission
Externí odkaz:
https://doaj.org/article/95c7d40ef07a48d889320285aa1a999f
Autor:
Ting Shen, Jiehui Jiang, Wei Lin, Jingjie Ge, Ping Wu, Yongjin Zhou, Chuantao Zuo, Jian Wang, Zhuangzhi Yan, Kuangyu Shi
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
As a medical imaging technology which can show the metabolism of the brain, 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) is of great value for the diagnosis of Parkinson's Disease (PD). With the development of pattern recognition t
Externí odkaz:
https://doaj.org/article/ac2962e978ad4472910ea54bec96f630