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...

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Detalles Bibliográficos
Autores principales: Land, Walker H, Margolis, Dan, Gottlieb, Ronald, Krupinski, Elizabeth A, Yang, Jack Y
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Research
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

Internet

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

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