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SU‐D‐218‐01: Support Vector Machine Tissue Classification of Multiparametric MRI Tumor Data
Purpose: To test the accuracy of Support Vector Machines in the classification of Glioblastoma Multiforme tumor voxels usingmultiparametric MRI data. Methods: Various MRI scans were collected from patients with recurrent GBM. Each scan session collected post‐contrastT1(+C T1), T2, diffusion, perfusi...
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| Publié dans: | Med Phys |
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| Auteurs principaux: | , , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
American Association of Physicists in Medicine
2012
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8015875/ https://ncbi.nlm.nih.gov/pubmed/28517375 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1118/1.4734704 |
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