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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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| Publicado no: | Med Image Comput Comput Assist Interv |
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| Main Authors: | , , , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2017
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| Assuntos: | |
| Acesso em linha: | 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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