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High grade glioma segmentation in magnetic resonance imaging
(Sociedad Latinoamericana de Hipertensión, 2018)
Through this work we propose a computational technique
for the segmentation of magnetic resonance images
(MRI) of a brain tumor, identified as high grade glioma
(HGG), specifically grade III anaplastic astrocytoma. This
technique consists of 3 stages developed in the threedimensional
domain. They are: pre-processing, segmentation
and post-processing. The pre-processing stage uses
a thresholding technique, morphological erosion filter
(MEF), in gray scale, followed by a median filter and a
gradient magnitude algorithm. On the other hand, ...
Low grade glioma segmentation using an automatic computational technique in magnetic resonance imaging
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique for
the segmentation of a brain tumor, identified as low grade
glioma (LGG), specifically grade II astrocytoma, which is
present in magnetic resonance images (MRI). This technique
consists of 3 stages developed in the three-dimensional
domain. They are: pre-processing, segmentation and postprocessing.
The percent relative error (PrE) is considered to
compare the segmentations of the LGG, generated by a neuro-
oncologist manually, with the dilated segmentations of the
LGG, obtained ...
Automatic segmentation of a meningioma using a computational technique in magnetic resonance imaging
(Sociedad Venezolana de Farmacología Clínica y Terapéutica, 2018)
Through this work we propose a computational technique
for the segmentation of a brain tumor, identified as meningioma
(MGT), which is present in magnetic resonance images
(MRI). This technique consists of 3 stages developed in
the three-dimensional domain: pre-processing, segmentation
and post-processing. The percent relative error (PrE) is considered
to compare the segmentations of the MGT, generated
by a neuro-oncologist manually, with the dilated segmentations
of the MGT, obtained automatically. The combination of
parameters linked ...
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 ...