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Result: Integrating AI-powered digital pathology and imaging mass cytometry identifies key classifiers of tumor cells, stroma, and immune cells in non–small cell lung cancer

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Title:
Integrating AI-powered digital pathology and imaging mass cytometry identifies key classifiers of tumor cells, stroma, and immune cells in non–small cell lung cancer
Involved:
Rigamonti, Alessandra (Verfasser); Viatore, Marika (Verfasser); Polidori, Rebecca (Verfasser); Rahal, Daoud (Verfasser); Erreni, Marco (Verfasser); Fumagalli, Maria Rita (Verfasser); Zanini, Damiano (Verfasser); Doni, Andrea (Verfasser); Putignano, Anna Rita (Verfasser); Bossi, Paola (Verfasser); Voulaz, Emanuele (Verfasser); Alloisio, Marco (Verfasser); Rossi, Sabrina (Verfasser); Zucali, Paolo Andrea (Verfasser); Santoro, Armando (Verfasser); Balzano, Vittoria (Verfasser); Nisticò, Paola (Verfasser); Feuerhake, Friedrich (Verfasser) ; Mantovani, Alberto (Verfasser); Locati, Massimo (Verfasser) ; Marchesi, Federica (Verfasser)
Published:
Freiburg : Universität, 2024
Scope:
1 Online-Ressource
Format:
eBook
Language:
English
Notes:
Cancer research. - 84, 7 (2024) , 1165-1177, ISSN: 1538-7445
DOI:
10.1158/0008-5472.can-23-1698

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Integrating AI-powered digital pathology and imaging mass cytometry identifies key classifiers of tumor cells, stroma, and immune cells in non–small cell lung cancer / Rigamonti, Alessandra
HEB518960978

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