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. 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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| Main Authors: | , , |
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| Format: | Digital revista |
| Language: | English |
| Published: |
Instituto Israelita de Ensino e Pesquisa Albert Einstein
2012
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| Online Access: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000200008 |
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