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Cancer prognosis using support vector regression in imaging modality
The proposed techniques investigate the strength of support vector regression (SVR) in cancer prognosis using imaging features. Cancer image features were extracted from patients and recorded into censored data. To employ censored data for prognosis, SVR methods are needed to be adapted to uncertain...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Baishideng Publishing Group Co., Limited
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3095462/ https://ncbi.nlm.nih.gov/pubmed/21603313 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5306/wjco.v2.i1.44 |
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