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Automation of Pattern Recognition Analysis of Dynamic Contrast-Enhanced MRI Data to Characterize Intra-Tumoral Vascular Heterogeneity
PURPOSE: To automate dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) data analysis by unsupervised pattern recognition (PR) to enable spatial mapping of intra-tumoral vascular heterogeneity. METHODS: Three steps were automated: (i) Determination of contrast agent arrival time at tumor...
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| Pubblicato in: | Magn Reson Med |
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| Autori principali: | , , , , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2017
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5775918/ https://ncbi.nlm.nih.gov/pubmed/28727185 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.26822 |
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