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Automatic segmentation of brain tumors in magnetic resonance imaging
OBJECTIVE: To develop a computational algorithm applied to magnetic resonance imaging for automatic segmentation of brain tumors. METHODS: A total of 130 magnetic resonance images were used in the T1c, T2 and FSPRG T1C sequences and in the axial, sagittal and coronal planes of patients with brain ca...
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| Pubblicato in: | Einstein (Sao Paulo) |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Instituto Israelita de Ensino e Pesquisa Albert Einstein
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7053828/ https://ncbi.nlm.nih.gov/pubmed/32159604 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.31744/einstein_journal/2020AO4948 |
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