Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Jiayin Zhou"'
Autor:
Su Huang, Weimin Huang, Ru San Tan, Liang Zhong, Jiayin Zhou, Jun-Mei Zhang, Yanling Chi, Zhiping Lin, Lu Huang
Publikováno v:
EMBC
Coronary artery lumen delineation, to localize and grade stenosis, is an important but tedious and challenging task for coronary heart disease evaluation. Deep learning has recently been successful applied to many applications, including medical imag
Publikováno v:
ICICS
In this paper, we propose a new framework, namely hybrid classifiers ensemble with random undersampling for liver tumor segmentation. Essentially, the proposed framework is working on computed tomography images in which each pixel is represented by a
Autor:
Tao Yang, Chee-Kong Chui, Yuping Duan, Soo-Kng Teo, Kyaw Kyar Toe, Stephen Chang, Calvin Lim, Selvaraj Senthil Kumar, Jiayin Zhou, Yi Su, Weimin Huang
Publikováno v:
EMBC
This work presents a surgical training system that incorporates cutting operation of soft tissue simulated based on a modified pre-computed linear elastic model in the Simulation Open Framework Architecture (SOFA) environment. A precomputed linear el
Publikováno v:
2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA).
Parts quality inspection is important for manufacturing, servicing and repairing. Among them, hole crack detection is very important as hole crack may lead to critical situation. Normal crack detection is unable to be applied to hole crack because ac
Publikováno v:
2015 IEEE 10th Conference on Industrial Electronics and Applications (ICIEA).
Accurate surface registration plays a vital role in computer vision. In order to increase the accuracy of the registration, this paper proposes a general computational framework to extract the anchor data from the scanned surface for registration. A
Autor:
Min Wan, Aaron Sung Lung Wong, Xiaodan Zhao, Desheng Wang, Hengfei Cui, Jun-Mei Zhang, Swee Yaw Tan, Ru San Tan, Jiayin Zhou, Wei Xiong, Weimin Huang, Liang Zhong, Yuping Duan
Publikováno v:
2014 IEEE Conference on Biomedical Engineering and Sciences (IECBES).
Precise coronary artery segmentation is a prerequisite for quantitatively assessing the severity of coronary artery stenosis. Extracting the centre line of the 3D volumetric coronary artery tree, also named as 3D skeletonization, plays an important r
Publikováno v:
ICIP
Image segmentation is to separate the image domain into sub-domains according to some optimization rule. Variational level-set image segmentation based on the Mumford-Shah model, together with level set formulation, leads to complicate implementation
Publikováno v:
EMBC
The use of hepatic-like cloned cord lining epithelial cells (CLEC) to enhance liver regeneration has been proposed, but has not been properly investigated in a large animal study. The paper presents a system developed for the longitudinal in-vivo vol
Publikováno v:
ICPR
As one of the most important image segmentation models, the Mumford-Shah functional was developed to pursue a piecewise smooth approximation of a given image based on the regularization on the total length of curves. In this paper, we modify the Mumf
Publikováno v:
ICIP
Image segmentation is to separate the image domain into local regions. Implicit active contour models via the level-set method can provide smooth and closed contours. The major category is based on the Mumford-Shah image component decomposition model