MAIOR NETO, L. A. S.; http://lattes.cnpq.br/4434039310644438; MAIOR NETO, Luis Alberto Souto.
Resumo:
Cerebral cancer is one of the cancer types with bigger mortality rates in the present days.
The most common form of brain cancer is the glioma, which is easily visualized in magnetic
resonance images. However, the measurement and evaluation of gliomas is complex and
time-consuming due to the great variety and number of medical image data the medical
professional has to deal with day-to-day. This increases intra- and inter-operator error
variability, making it necessary to develop computer assisted diagnosis (CAD) tools to
overcome such problems. In this work, these concepts are approached thoroughly in order
to propose and present a method for segmentation of brain tumours on MRI images. The
proposed method achieved a Dice score of 88% for anomaly segmentation, evaluated on
the BRATS 2016 database.