Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Xuli Zong"'
Publikováno v:
Journal of Systemics, Cybernetics and Informatics, Vol 1, Iss 4, Pp 53-59 (2003)
Web usage mining is used to discover interesting user navigation patterns and can be applied to many real-world problems, such as improving Web sites/pages, making additional topic or product recommendations, user/customer behavior studies, etc. This
Externí odkaz:
https://doaj.org/article/efa66f9795c54171952dc93980851a4f
Publikováno v:
Journal of magnetic resonance imaging : JMRI. 17(2)
Purpose To improve the signal-to-noise ratio (SNR) of breath-held coronary magnetic resonance angiography (CMRA) without increasing the number or duration of breath holds. Materials and Methods In this BACSPIN (Breathing AutoCorrection with SPiral IN
Autor:
Xuli Zong, Andrew F. Laine
Publikováno v:
ICIP (3)
An algorithm for endocardial and epicardial border identification of the left ventricle in 2-D short-axis echocardiographic images is presented. Our approach relies on shape modeling of endocardial and epicardial boundaries and prominent border infor
Publikováno v:
ICIP (3)
Scopus-Elsevier
Scopus-Elsevier
This paper presents an approach for image segmentation using sub-octave wavelet representations and a dynamic resource-allocating neural network. The algorithm is applied to identify regions of masses in mammographic images of varied degrees of perce
Publikováno v:
Magnetic resonance in medicine. 46(6)
Spiral acquisitions are used in fast cardiac imaging because they traverse k-space efficiently and minimize flow artifacts. A variable pitch logarithmic spiral trajectory is designed to critically sample the low-frequency region in k-space and gradua
Publikováno v:
SPIE Proceedings.
This paper presents experimental results and analysis for a study of the effect of de-noising on the consistency and reliability of manually-defined borders of echocardiograms. De-Noising and image enhancement have been performed on a test data set o
This paper presents an algorithm for speckle reduction and contrast enhancement of echocardiographic images. Within a framework of multiscale wavelet analysis, the authors apply wavelet shrinkage techniques to eliminate noise while preserving the sha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c2c511d5b798ede67d60acbf7141f367
Autor:
Xuli Zong, Andrew F. Laine
Publikováno v:
SPIE Proceedings.
This paper describes an approach for accomplishing sub- octave wavelet analysis and its discrete implementation for noise reduction and feature enhancement. Sub-octave wavelet transforms allow us to more closely characterize features within distinct
Publikováno v:
Medical Imaging: Image Processing
An approach for speckle reduction and feature enhancement under a framework of multiscale wavelet analysis is presented. The advantages of both soft thresholding and hard thresholding wavelet shrinkage techniques are utilized to eliminate noise and p
Publikováno v:
SPIE Proceedings.
This paper presents an approach which addresses both de-noising and contrast enhancement. In a multiscale wavelet analysis framework, we take advantage of both soft thresholding and hard thresholding wavelet shrinkage techniques to reduce noise. In a