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Machine Learning Improves Classification of Preclinical Models of Pancreatic Cancer with Chemical Exchange Saturation Transfer MRI
PURPOSE: We sought to assess whether machine learning-based classification approaches can improve the classification of pancreatic tumor models relative to more simplistic analysis methods, using T(1) relaxation, Chemical Exchange Saturation Transfer (CEST), and dynamic contrast-enhanced (DCE) MRI....
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| Yayımlandı: | Magn Reson Med |
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| Asıl Yazarlar: | , , |
| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
2018
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| Konular: | |
| Online Erişim: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6258293/ https://ncbi.nlm.nih.gov/pubmed/30277270 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/mrm.27439 |
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