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Improving CT prediction of treatment response in patients with metastatic colorectal carcinoma using statistical learning theory
BACKGROUND: Significant interest exists in establishing radiologic imaging as a valid biomarker for assessing the response of cancer to a variety of treatments. To address this problem, we have chosen to study patients with metastatic colorectal carcinoma to learn whether statistical learning theory...
| Autores principales: | , , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2999345/ https://www.ncbi.nlm.nih.gov/pubmed/21143782 http://dx.doi.org/10.1186/1471-2164-11-S3-S15 |