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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Bibliografische gegevens
Gepubliceerd in:AJNR Am J Neuroradiol
Hoofdauteurs: 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.
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: American Society of Neuroradiology 2015
Onderwerpen:
Brain
Online toegang: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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