Comput Math Methods Med - A hybrid approach of using symmetry technique for brain tumor segmentation.

Tópicos

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Resumo

Tumor and related abnormalities are a major cause of disability and death worldwide. Magnetic resonance imaging (MRI) is a superior modality due to its noninvasiveness and high quality images of both the soft tissues and bones. In this paper we present two hybrid segmentation techniques and their results are compared with well-recognized techniques in this area. The first technique is based on symmetry and we call it a hybrid algorithm using symmetry and active contour (HASA). In HASA, we take refection image, calculate the difference image, and then apply the active contour on the difference image to segment the tumor. To avoid unimportant segmented regions, we improve the results by proposing an enhancement in the form of the second technique, EHASA. In EHASA, we also take reflection of the original image, calculate the difference image, and then change this image into a binary image. This binary image is mapped onto the original image followed by the application of active contouring to segment the tumor region.

Resumo Limpo

tumor relat abnorm major caus disabl death worldwid magnet reson imag mri superior modal due noninvas high qualiti imag soft tissu bone paper present two hybrid segment techniqu result compar wellrecogn techniqu area first techniqu base symmetri call hybrid algorithm use symmetri activ contour hasa hasa take refect imag calcul differ imag appli activ contour differ imag segment tumor avoid unimport segment region improv result propos enhanc form second techniqu ehasa ehasa also take reflect origin imag calcul differ imag chang imag binari imag binari imag map onto origin imag follow applic activ contour segment tumor region

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