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  Indian J Med Microbiol
 

Figure 4: The overall working scheme of the Scale Invariant Feature Transform based module is represented with respect to all the steps which it is made of: (a) the input image is specified into two new mammograms (b) using the logistic function and the nonparametric kernel-smoothing distribution [Figure 2]; Scale invariant feature transform keypoints are extracted on both the mammogram versions considering the radius parameter and discarding those keypoints with negative Laplacian (c), then the intersection between all the keypoints extracted on both mammogram versions is performed as a sort of result integration (d)

Figure 4: The overall working scheme of the Scale Invariant Feature Transform based module is represented with respect to all the steps which it is made of: (a) the input image is specified into two new mammograms (b) using the logistic function and the nonparametric kernel-smoothing distribution [Figure 2]; Scale invariant feature transform keypoints are extracted on both the mammogram versions considering the radius parameter and discarding those keypoints with negative Laplacian (c), then the intersection between all the keypoints extracted on both mammogram versions is performed as a sort of result integration (d)