Computerized brain tumor segmentation in magnetic resonance imaging
Maryana de Carvalho Alegro, Edson Amaro, Rosei de Deus Lopes · Einstein (São Paulo) · 2012
OBJECTIVE: To propose an automatic brain tumor segmentation system. METHODS: The system used texture characteristics as its main source of information for segmentation. RESULTS: The mean correct match was 94% of correspondence between the segmented areas and ground truth. CONCLUSION: Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.