Sentence examples for maps were segmented from inspiring English sources

Spatially normalized activation maps were segmented into functional areas using a neuroanatomical atlas and each map was classified separately using local classifiers.

The fractional anisotropy (FA) maps were segmented using a white matter parcellation map covering the entire brain.

Zn and Fe maps were segmented in steps of 0.5 mm by the insertion of vertical and horizontal lines.

MRI lesion maps were segmented on diffusion-weighted images, spatially normalized, and the extent of overlap between the different stroke patterns was determined.

First, the maps were segmented using the segment map utility, and x-ray crystal structures for paralogs were fit using the fit-to-segment utility (Pettersen et al., 2004).

To analyze the different enzyme conformations detected by 3D classification, the maps were segmented and available crystal structures for the F1 IF1 complex (Gledhill et al., 2007), F1 peripheral stalk complex (Rees et al., 2009), peripheral stalk alone (Dickson et al., 2006), and F1-c8 complex (Watt et al., 2010) were combined into each of the maps by MDFF (Trabuco et al., 2008).

3D-maps were segmented using the Segger program (Pintilie and Chiu, 2012) in UCSF Chimera (Pettersen et al., 2004).

The winning feature map is segmented using region growing and adaptive thresholding.

The map is segmented using UCSF Chimera, grouped, and colored with pink for the arch-shape portion and yellow for the more globular portion.

Next, the map was segmented around three asymmetric units of the resulting pore model.

The EM density map was segmented into regions corresponding to the head, middle, and tail modules of Mediator by first subtracting the density associated with the docked head module and then apportioning the remaining density between middle and tail modules such that the volume of each was proportional to their molecular weight.