Computerized brain tumor segmentation in magnetic resonance imaging
| Contribuinte(s) |
UNIVERSIDADE DE SÃO PAULO |
|---|---|
| Data(s) |
04/11/2013
04/11/2013
2012
|
| Resumo |
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. |
| Identificador |
Einstein (São Paulo),v.10,n.2,p.158-163,2012 1679-4508 http://www.producao.usp.br/handle/BDPI/40211 10.1590/S1679-45082012000200008 http://www.scielo.br/scielo.php?script=sci_pdf&pid=S1679-45082012000200008&lng=en&nrm=iso&tlng=en |
| Idioma(s) |
eng |
| Publicador |
Instituto Israelita de Ensino e Pesquisa Albert Einstein |
| Relação |
Einstein (São Paulo) |
| Direitos |
openAccess |
| Palavras-Chave | #Magnetic resonance imaging #Image processing, computer-assisted #Brain neoplasms #Imagem por ressonância magnética #Processamento de imagem assistida por computador #Neoplasias encefálicas |
| Tipo |
article original article |
