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It can overcome the disadvantages of the conventional ellipse curve imaging algorithm.
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Fig. 4 Simulation results of imaging algorithm.
For this investigation, X-ray rocking curve imaging (RCI) in transmission geometry, a directly quantitative version of monochromatic beam Bragg diffraction imaging ("topography") has been used.
This is mainly due to the inherent disadvantage of the imaging algorithm using ellipse curves.
However, they are not quite suitable for seismic imaging algorithms.
The training set will additionally be used to estimate areas under the curve for our diagnostic algorithm, including CLSA, WHO algorithm, imaging and physical exam findings.
Figure 5 Curve matching algorithm analysis.
This may require a curve fitting algorithm or a traditional 'flexicurve' (curve fitting ruler) on paper.
Data were plotted using a nonlinear regression curve fitting algorithm (GraphPad Prism 4.0, La Jolla, CA, USA).
ROMA/NimbleGen data were normalized using an intensity-based lowness curve fitting algorithm [ 30].
The larger the area under the ROC curve of an algorithm, the more effective the algorithm is.
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