Computerized brain tumor segmentation in magnetic resonance imaging.

Abstract

To propose an automatic brain tumor segmentation system. The system used texture characteristics as its main source of information for segmentation. The mean correct match was 94% of correspondence between the segmented areas and ground truth. Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.