The journal einstein (São Paulo) – e-ISSN 2317-6385 is dedicated to dissemination of high-quality scientific content that advances our understanding of human disease with the goal of improving prevention, care, diagnostics and treatment of patients globally.
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.
Computerized brain tumor segmentation in magnetic resonance imaging
AlegroMC, Amaro JuniorE, LopesRD. Computerized brain tumor segmentation in magnetic resonance imaging. Einstein (São Paulo) 2012;10(2):158-63. https://doi.org/10.1590/S1679-45082012000200008
Alegro,Maryana de Carvalho; Amaro Junior,Edson; Lopes,Rosei de Deus. Computerized brain tumor segmentation in magnetic resonance imaging. Einstein (São Paulo), v. 10, n. 2, p. 158-163, Sep. 2012. https://doi.org/10.1590/S1679-45082012000200008
Alegro,M.C., Amaro Junior,E., & Lopes,R.D. (2012). Computerized brain tumor segmentation in magnetic resonance imaging. Einstein (São Paulo),10(2), 158-163. https://doi.org/10.1590/S1679-45082012000200008
Alegro,Maryana de Carvalho and Amaro Junior,Edson and Lopes,Rosei de Deus. Computerized brain tumor segmentation in magnetic resonance imaging. Einstein (São Paulo) [online]. 2012, vol. 10, n. 2, [cited 2025-09-06], pp.158-163. Available from: <https://journal.einstein.br/article/computerized-brain-tumor-segmentation-in-magnetic-resonance-imaging/>. ISSN 1679-4508. https://doi.org/10.1590/S1679-45082012000200008