Quantification of Tumor Burden in a Genetically Engineered Mouse Model of Lung Cancer by Micro-CT and Automated Analysis()

Genetically engineered mouse models (GEMMs) of lung cancer closely recapitulate the human disease but suffer from the difficulty of evaluating tumor growth by conventional methods. Herein, a novel automated image analysis method for estimating the lung tumor burden from in vivo micro-computed tomogr...

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Detalles Bibliográficos
Autores principales: Barck, Kai H., Bou-Reslan, Hani, Rastogi, Ujjawal, Sakhuja, Timothy, Long, Jason E., Molina, Rafael, Lima, Anthony, Hamilton, Patricia, Junttila, Melissa R., Johnson, Leisa, Carano, Richard A.D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Neoplasia Press 2015
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415142/
https://www.ncbi.nlm.nih.gov/pubmed/25926079
http://dx.doi.org/10.1016/j.tranon.2015.03.003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4415142/
https://www.ncbi.nlm.nih.gov/pubmed/25926079
http://dx.doi.org/10.1016/j.tranon.2015.03.003

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