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Segmentation, Feature Extraction, and Multiclass Brain Tumor Classification
Multiclass brain tumor classification is performed by using a diversified dataset of 428 post-contrast T1-weighted MR images from 55 patients. These images are of primary brain tumors namely astrocytoma (AS), glioblastoma multiforme (GBM), childhood tumor-medulloblastoma (MED), meningioma (MEN), sec...
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer US
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3824920/ https://ncbi.nlm.nih.gov/pubmed/23645344 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10278-013-9600-0 |
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