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Automatic segmentation of epidural hematomas using a computational technique based on intelligent operators: a clinical utility
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
This paper proposes a non-linear computational technique
for the segmentation of epidural hematomas (EDH), present
in 7 multilayer computed tomography brain imaging databases.
This technique consists of 3 stages developed in the
three-dimensional domain, namely: pre-processing, segmentation
and quantification of the volume occupied by each of
the segmented EDHs. To make value judgments about the
performance of the proposed technique, the EDH dilated segmentations,
obtained automatically, and the EDH segmentations,
generated manually by ...
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 ...