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method to handle modelling and heteroscedasticity problems. The method contains the following main steps . First, raw data are preprocessed and grouped. Second, main models are built for each group. Third ...
the volume of point cloud on irregular object surface when there are multiple contour boundaries. First, after the point cloud preprocessing , the rough and fine two - step clustering method is used to separate ...
classifications of brain volume , total brain volume (TBV) and intracranial volume (ICV). Our algorithm takes MRI data as input, performs several preprocessing and intermediate steps , and then returns each ...
to give a better 3D-impression. The effects of various preprocessing steps are discussed. for display of 3D- data are presenSeveral methods for display of 3D - data are presenrepresentations like look ...
Introduction progressive photon-based volume rendering techniques. By making use of two Kd-trees (built in a preprocessing step ) Rendering participating media ( volume data ) with multiple to store view beams ...
PurposeIn neuroimage studies, it is usual to set a sequence of image preprocessing steps to obtain a controlled data analysis. One of the possible data preparation steps is the skull stripping, which ...
for automatic or semi-automatic identification of endmembers using spatial and spectral information, including the spectral-spatial endmember extraction (SSEE) where, within a preprocessing step in the technique ...
truncation in two successive preprocessing steps by applying a hybrid data extrapolation method , which is a combination of a water cylinder extrapolation and a Gaussian extrapolation. It is independent of any ...
the boundary of the brain. The similarity indices indicate that our method outperformed the BSE and BET methods in skull-stripping the MR image volumes in the IBSR data set. Experimental results show ...
of assessing the goodness of data harmonization as a necessary preprocessing step when pooling large data set with multiple covariates, prior to further statistical data analysis. ...
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