Related Experiment Video
Updated: May 17, 2026
06:48
Automated Segmentation of Cortical Grey Matter from T1-Weighted MRI Images
Published on: January 7, 2019
Computerized brain tumor segmentation in magnetic resonance imaging
Maryana de Carvalho Alegro1, Edson Amaro Junior, Rosei de Deus Lopes
1Integrated System Laboratory, Escola Politécnica, Universidade de São Paulo, São Paulo, SP, Brazil.
Einstein (Sao Paulo, Brazil)
|October 12, 2012
Abstract
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.
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