Multiscale computational modeling of cancer growth using features derived from microCT images

Advances in medical imaging technologies now allow noninvasive image acquisition from individual patients at high spatiotemporal resolutions. A relatively new effort of predictive oncology is to develop a paradigm for forecasting the future status of an individual tumor given initial conditions and...

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Detalles Bibliográficos
Autores principales: Zangooei, M. Hossein, Margolis, Ryan, Hoyt, Kenneth
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448838/
https://www.ncbi.nlm.nih.gov/pubmed/34535748
http://dx.doi.org/10.1038/s41598-021-97966-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8448838/
https://www.ncbi.nlm.nih.gov/pubmed/34535748
http://dx.doi.org/10.1038/s41598-021-97966-1

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