Iterative Probabilistic Voxel Labeling: Automated Segmentation for Analysis of The Cancer Imaging Archive Glioblastoma Images

BACKGROUND AND PURPOSE: Robust, automated segmentation algorithms are required for quantitative analysis of large imaging datasets. We developed an automated method that identifies and labels brain tumor–associated pathology by using an iterative probabilistic voxel labeling using k-nearest neighbor...

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Dades bibliogràfiques
Publicat a:AJNR Am J Neuroradiol
Autors principals: Steed, T.C., Treiber, J.M., Patel, K.S., Taich, Z., White, N.S., Treiber, M.L., Farid, N., Carter, B.S., Dale, A.M., Chen, C.C.
Format: Artigo
Idioma:Inglês
Publicat: American Society of Neuroradiology 2015
Matèries:
Brain
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7964326/
https://ncbi.nlm.nih.gov/pubmed/25414001
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3174/ajnr.A4171
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