A straightforward way to capture this is to count the phones in the segmentation with durations that deviate substantially from the mean phone duration.
A well-established class of methods consists of active contour models, which have been widely used in image segmentation with promising results.
In East Asia, word segmentation with spaces was introduced in Korean only relatively recently in the 1970s.
Thus, the benefit of liver uptake of hepatobiliary contrast agents in segmentation may be decreased with advancing liver disease.
Although nephron identities responded to increased β-catenin as our model predicted, the large morphological changes obscured any subtle changes in segmentation in those nephrons with decreased β-catenin activity.
Despite recent advancements in segmentation methods for brain tissue with magnetic resonance images (MRI) [ 21], there is no automatic segmentation tool available for nonbrain tissues such as extracranial tissues like cartilages, fats, and neck muscles.
40P showed highest group-wise median ICC for all four groups of texture parameters, as illustrated in Fig. 3. Segmentation with 40P was especially robust in first-order statistical measures, for which it showed a median ICC of 0.94 compared with 0.86 for FH and 0.87 for FLAB.
We present an end-to-end trainable deep convolutional neural network (DCNN) for semantic segmentation with built-in awareness of semantically meaningful boundaries.
The C-V model [7], as a simplified case of the Mumford-Shah model, in a piecewise constant way, has achieved a good performance in two-phase image segmentation with a fast convergence rate.
