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Automatic segmentation of a cerebral glioblastoma using a smart computational technique
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
We propose an intelligent computational technique for the
image segmentation of a type IV brain tumor, identified as
multiform glioblastoma (MGB), which is present in multi-layer
computed tomography images. This technique consists of
3 stages developed in the three-dimensional domain. They
are: pre-processing, segmentation and validation. During the
validation stage, the Dice coefficient (Dc) is considered in
order to compare the segmentations of the MGB, obtained
automatically, with the segmentations of the MGB generated
manually, by a ...