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Thus, the method proposed does not affect the imaging depth.
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The methods proposed do not require local refinement of the finite element mesh in regions of high curvature, ensure the independence of the domain's volume on the mesh, do not rely on boundary regularization, and are well suited to methods based on fixed grids such as the extended finite element method (XFEM).
The method, as originally proposed, did not use TOF information and, therefore, the algorithm had a non-unique solution.
The method that I propose does not constrain the user in the selection of gene similarity measure.
Compared to the aforementioned methods that rely on the process of training a particular model by using an extracted set of features, the pixel-activity-based method proposed in[113] does not use such methodology.
Compared with method [1], the method proposed here does not need segmentation and requires only one threshold.
In contrast, the method proposed here does not rely on a dictionary and requires far fewer computational steps.
In contrast to usual schemes of blur detection at the edges, the method proposed in[35] does an estimation of blur at the macroblock (MB) boundaries.
The method proposed here does not define or require pre-defined correlation thresholds.
In contrast to all other solutions presented so far for the complementation of DFE, the method proposed here does not require any assumptions regarding the mathematical representation of the fluxes.
Also, the DRLSE method proposed in[25] does not expand the vessels if the initialization starts inside the vessel.
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