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b Results of the method using circular initial contour to segment green component images.
b Results of the method using circular initial contours to segment combined color space images.
The second is the hypothesis test method using circular traces (CT) in Section 3.2.
b Results of the method using circular initial contour to segment gray images.
Figure 10 displays the results of the method using circular initial contour to segment green component images and the results of our method.
Figure 11 shows the results of the method using circular initial contour to segment gray images and the results of the proposed method.
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This method used circular buffers around census tract population centroids to compute a physician-to-population ratio from the number of enclosed facilities.
Single Photon Emission Computed Tomography (SPECT) imaging using pinhole collimation provides high resolution and sensitivity, but conventional methods using circular acquisitions result in severe image truncation and incomplete sampling of data, which prevent the accurate determination of whole-body radiotracer biodistributions.
In this paper, we describe our methods using circular permutations (when written on a line, the leftmost element follows the rightmost element), as any sorting reversal on a circular permutation has its counterpart on a linear version of the permutation.
The log10 copy number ratios were smoothed using a standard deviation-based outlier detection method and segmented using Circular Binary Segmentation (CBS) [ 14] as implemented in the R package DNAcopy ('smooth.region = 10' for the smoothing method, 'alpha = 0.05' for the segmentation, and default parameters for all other arguments).
The angular data were transformed via circular statistics and means compared using the maximum-likelihood method, using a circular normal distribution and analyses of variance for repeated measurements (left and right turn); other factors were independent RM-ANOVA).
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