Sentence examples for identifying the borders from inspiring English sources

Our findings raise a concern about the typical phase-encoding approach, and suggest that contralateral preference provides a more robust criterion than topography for identifying the borders of extra-occipital areas.

These data support our hypothesis in that there are no significant differences between the two methods of identifying the borders of the MM lesions.

Using the YSQ-1 the children were good at identifying the borders of the cervical spine (both boundaries correctly identified: 91.8%) but the lumbar (67.4%) and thoracic spines (63.3%) were somewhat less clearly recognised (Table  2).

The nestedness is calculated by identifying the border dividing the matrix in two areas containing respectively most ones and most zeroes, that is exactly the role of the Purchase Function.

The loss of MR signal intensity in the in-phase Dixon images, caused by superparamagnetic iron deposits, led to problems in identifying the border between lung tissue and the liver and a subsequent erroneous assignment of lung attenuation values to the liver.

However, the next step, identifying the bordering communities of interest is purely spatial.

The area of the striatal lesions resulting from LV-Htt171-82Q infection was delineated manually by identifying the border of the lesion (loss of DARPP-32 and NeuN immunolabeling).

This region was omitted because of technical challenges in accurately identifying the border of the bone and increased signal-intensity heterogeneity.

The average length of neurite extension was calculated as the average distance between the elliptical curve identifying the border of the DRG cell mass and the elliptical curve identifying the leading edge of the neurite field along a line oriented radially from the center of the DRG cell mass.

Further genetic analyses coupled with a fine grained sampling design are needed to precisely identify the borders of genetic stocks.

Firstly, we attempted to identify the borders of the frequency bands employing a k-means clustering algorithm.