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The Dice coefficient is routinely used in image segmentation as a validation measure of the pixel-by-pixel matching between the segmented image and the gold standard [ 48].
We also suggest some design choices and research directions for future research in image segmentation.
Selecting the appropriate scale parameter becomes a particularly important task in image segmentation.
Novel forces in image segmentation based on active contours models are proposed for capturing objects in the image.
This paper employs the methods from the design of experiments for supervised parameter learning in image segmentation.
Partial differential equation-based (PDE-based) methods are extensively used in image segmentation, especially in contour models.
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This results in an effective grouping of pixels with similar XANES into k groups resulting in image segmentations.
Our in-house image segmentation and global fitting software is written in C++ with a MATLAB front end and will be described in detail in a future publication.
This paper proposes to utilize the hot spot values in PET to guide the segmentation in CT, in automatic image segmentation using seeded region growing (SRG) technique.
In the image segmentation result shown in Figure 23b, several blobs are obtained for the car on the right side, because of its large size.
A comprehensive review of techniques commonly used in cardiac image segmentation can be found in Kang et al.[5].
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