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Extension of the model could also be imagined to tackle the problem of the joint segmentation of datasets where transcript boundaries and expression level differ.
This precluded adopting the use of 3D modelling in our phenotyping procedure as a means of examining all organs and tissues because this would necessitate time-consuming and technically challenging segmentation of datasets.
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using the pipeline described in Segmentation of the Dataset.
Successful segmentation of the dataset was conducted using a combination of level-set segmentation filters, combined in a sequential processing pipeline to refine the segmentation at each stage.
Whether the initial segmentation of a dataset is most appropriately done using single- or multi-sample methods depends both on the purpose and the data.
The program Amira 5.3.3® (VSG, Mérignac Cedex, France) was used for segmentation of CT-datasets of the paranasal sinuses and sinonasal channels.
The second reason for the correction of errors is that a complete manual segmentation of the dataset would be too time-consuming.
Here, a new computational framework for segmentation of 3D EM datasets is introduced.
In this paper, a new soft computing approach based on the fuzzy c-means algorithm is proposed for the automatic segmentation of MRI volumetric datasets.
This paper shows how the segmentation of the accident datasets helps to better understand the complex relationship between the injury severity outcomes and the contribution of geometric, built environment and socio-demographic factors.
The model generation pipeline first involved the construction of a geometrically faithful representation of the ventricular geometry, obtained by segmentation of the MR dataset followed by finite-element mesh generation of the segmented voxel image stack.
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