Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes

Predicting cell invasion in breast tumor microenvironment from radiological imaging phenotypes

Abstract Background The abundance of immune and stromal cells in the tumor microenvironment (TME) is informative of levels of inflammation, angiogenesis, and desmoplasia. Radiomics, an approach of extracting quantitative features from radiological imaging to characterize diseases, have been shown to...

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Bibliographic Details
Main Authors: Dooman Arefan, Ryan M. Hausler, Jules H. Sumkin, Min Sun, Shandong Wu
Format: Article
Language:English
Published: BMC 2021-04-01
Series:BMC Cancer
Subjects:
Breast cancer
Radio-genomics
Machine learning
Tumor microenvironment
Cell type
Radiomics
Online Access:https://doi.org/10.1186/s12885-021-08122-x

Internet

https://doi.org/10.1186/s12885-021-08122-x

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