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Liver tissue classification in patients with hepatocellular carcinoma by fusing structured and rotationally invariant context representation

This work addresses multi-class liver tissue classification from multi-parameter MRI in patients with hepatocellular carcinoma (HCC), and is among the first to do so. We propose a structured prediction framework to simultaneously classify parenchyma, blood vessels, viable tumor tissue, and necrosis,...

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Vydáno v:Med Image Comput Comput Assist Interv
Hlavní autoři: Treilhard, John, Smolka, Susanne, Staib, Lawrence, Chapiro, Julius, Lin, MingDe, Shakirin, Georgy, Duncan, James
Médium: Artigo
Jazyk:Inglês
Vydáno: 2017
Témata:
On-line přístup:https://ncbi.nlm.nih.gov/pmc/articles/PMC5995317/
https://ncbi.nlm.nih.gov/pubmed/29900427
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-319-66179-7_10
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