AI drives the assessment of lung cancer microenvironment composition

AI drives the assessment of lung cancer microenvironment composition

Purpose: The abundance and distribution of tumor-infiltrating lymphocytes (TILs) as well as that of other components of the tumor microenvironment is of particular importance for predicting response to immunotherapy in lung cancer (LC). We describe here a pilot study employing artificial intelligenc...

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Bibliographic Details
Main Authors:	Enzo Gallo, Davide Guardiani, Martina Betti, Brindusa Ana Maria Arteni, Simona Di Martino, Sara Baldinelli, Theodora Daralioti, Elisabetta Merenda, Andrea Ascione, Paolo Visca, Edoardo Pescarmona, Marialuisa Lavitrano, Paola Nisticò, Gennaro Ciliberto, Matteo Pallocca
Format:	Article
Language:	English
Published:	Elsevier 2024-12-01
Series:	Journal of Pathology Informatics
Subjects:	Digital pathology Machine learning Pathology image Computer-aided tool Whole slide images Lung cancer
Online Access:	http://www.sciencedirect.com/science/article/pii/S2153353924000397
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