Computerized brain tumor segmentation in magnetic resonance imaging.
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.


CONCLUSIONS
Final results showed that the proposed system was able to find and delimit tumor areas without requiring any user interaction.
Integrated System Laboratory, Escola Politécnica, Universidade de São Paulo, São Paulo, SP, Brazil.
Maryana de Carvalho
Mde C
Alegro
Edson
E
Amaro Junior
Rosei de Deus
Rde D
Lopes
D000293:Adolescent; D000328:Adult; D000368:Aged; D001932:Brain Neoplasms / Q000473:pathology*; D002675:Child, Preschool; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results