Efficient Brain Tumor Segmentation using Support Vector Machines
نویسندگان
چکیده
Segmentation of anatomical elements of brain is the fundamental problem in health image analysis. The aim of this work is to create an automated method for mind tumor quantification using MRI picture data units using support vector machines. A brain tumor segmentation method has become developed and validate segmentation on 2D & 3D MRI Data. This technique doesn't require any initialization while the others require an initialization inside the tumor. In this, after a manual segmentation procedure the tumor identification, the investigations was made for the prospective usage of MRI data for improving mind tumor shape approximation and 2D & 3D visualization for surgical planning and assessing tumor. Medical planning now uses both 2D & 3D designs that integrate data from several imaging modalities.
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