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...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Med Phys
Päätekijät: Heredia, G, Koay, G, Turski, P, Meyerand, M
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: American Association of Physicists in Medicine 2012
Aiheet:
Fifty‐fourth Annual Meeting of the American Association of Physicists in Medicine
Linkit: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
Tagit: Lisää tagi
Ei tageja, Lisää ensimmäinen tagi!

Samankaltaisia teoksia