Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis

Development of a Deep-Learning Pipeline to Recognize and Characterize Macrophages in Colo-Rectal Liver Metastasis

Quantitative analysis of Tumor Microenvironment (TME) provides prognostic and predictive information in several human cancers but, with few exceptions, it is not performed in daily clinical practice since it is extremely time-consuming. We recently showed that the morphology of Tumor Associated Macr...

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Bibliographic Details
Main Authors: Pierandrea Cancian, Nina Cortese, Matteo Donadon, Marco Di Maio, Cristiana Soldani, Federica Marchesi, Victor Savevski, Marco Domenico Santambrogio, Luca Cerina, Maria Elena Laino, Guido Torzilli, Alberto Mantovani, Luigi Terracciano, Massimo Roncalli, Luca Di Tommaso
Format: Article
Language:English
Published: MDPI AG 2021-07-01
Series:Cancers
Subjects:
macrophages
colo-rectal liver metastases
deep learning
artificial intelligence
digital pathology
Online Access:https://www.mdpi.com/2072-6694/13/13/3313

Internet

https://www.mdpi.com/2072-6694/13/13/3313

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