Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas

Machine Learning for Future Subtyping of the Tumor Microenvironment of Gastro-Esophageal Adenocarcinomas

Tumor progression involves an intricate interplay between malignant cells and their surrounding tumor microenvironment (TME) at specific sites. The TME is dynamic and is composed of stromal, parenchymal, and immune cells, which mediate cancer progression and therapy resistance. Evidence from preclin...

Full description

Bibliographic Details
Main Authors: Sebastian Klein, Dan G. Duda
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Cancers
Subjects:
gastric cancer
esophageal cancer
gastro-esophageal
machine learning
tumor microenvironment
deep learning
Online Access:https://www.mdpi.com/2072-6694/13/19/4919

Internet

https://www.mdpi.com/2072-6694/13/19/4919

Similar Items