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Data Processing and Data Engineering
Zhe Liu
Name
Zhe Liu
Title
Professor
Office Phone
15905287603
E-mail
1000004088@taogoods.net
Location
Room 102, CS Building, Jiangsu University
Biography
Zhe Liu is Associate Professor of the School of Computer Science and Communication Engineering at Jiangsu University from August 2012. Zhe Liu was awarded a PhD in 2012 from Jiangsu University. Her current research program focuses on image processing and analysis utilizing techniques such as image segmentation, image fusion, and image clustering.
Fields of Research: Image and video processing and analysis
Main Publications
[1] Zhe Liu, Yu-Qing Song, Victor S. Sheng,et.al.,Liver CT sequence segmentation based with improved U-Net and graph cut,Expert Systems with Applications, 2019,126: 54-63
[2] Liu, Zhe,Yuqing; Maere, Charlie;et.al.,A Method for PET-CT Lung Cancer Segmentation based on Improved Random Walk,ICPR 2018, 1187-119
[3] Liu Z , Song Y , Sheng V S , et al. MRI and PET image fusion using the nonparametric density model and the theory of variable-weight[J]. Computer Methods and Programs in Biomedicine, 2019, 175:73-82.
[4] Zhe L, Song Y Q, Xie C H, et al. A new clustering method of gene expression data based on multivariate Gaussian mixture models[J]. Signal Image & Video Processing, 2016, 10(2):359-368.
[5] Zhe L. Noised image segmentation based on rough set and orthogonal polynomial density model[J]. Journal of Electronic Imaging, 2015, 24(2):023010.
Granted Projects
[1] 2018.01-2021.12:Early diagnosis and analysis of multi-modal pancreatic cancer images based on deep migration learning in parallel architecture,National Science Foundation of China
[2] 2016.01-2019.12:Liver cancer image recognition based on multi-objective optimization and stack sparse coding,National Science Foundation of China
[3] 2017.05-2019.01:Non-destructive Detection of Pecan Quality Based on Image Recognition,China Postdoctoral Science Foundation Funded Project
[4] 2015-2017:Key research of medical image processing based on non-parametric orthogonal polynomial model and rough set theory, National Science Foundation of China
[5] 2013-2016:Pathological study of image processing based on rough set theory and non-parametric orthogonal polynomial model, National Science Foundation of Jiangsu Province
Awards
[1]Research and Application of Key Technologies of Traffic Logistics E-commerce Platform Based on Exchange Trading,China Highway Society Science and Technology Progress Award,2018
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