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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 ...