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Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning

par Klauschen, Frederick;Müller, Klaus Robert;Binder, Alexander;Bockmayr, Michael;Hägele, M.;Seegerer, P.;Wienert, Stephan;Pruneri, Giancarlo;de Maria, S.;Badve, S;Michiels, Stefan ;Nielsen, Torsten T.O.;Adams, Sylvia;Savas, Peter;Symmans, F.;Willis, Scooter;Gruosso, Tina;Park, Morag;Haibe-Kains, Benjamin ;Gallas, Brandon;Thompson, Abbey A.M.;Cree, Ian;Sotiriou, Christos ;Solinas, Cinzia ;Preusser, Matthias;Hewitt, Stephen M;Rimm, David D.L.;Viale, Giuseppe;Loi, S.;Loibl, Sibylle;Salgado, Roberto;Denkert, Carsten
Référence Seminars in cancer biology, 52, page (151-157)
Publication Publié, 2018-10-01

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Titre:	Scoring of tumor-infiltrating lymphocytes: From visual estimation to machine learning
Auteur:	Klauschen, Frederick; Müller, Klaus Robert; Binder, Alexander; Bockmayr, Michael; Hägele, M.; Seegerer, P.; Wienert, Stephan; Pruneri, Giancarlo; de Maria, S.; Badve, S; Michiels, Stefan; Nielsen, Torsten T.O.; Adams, Sylvia; Savas, Peter; Symmans, F.; Willis, Scooter; Gruosso, Tina; Park, Morag; Haibe-Kains, Benjamin; Gallas, Brandon; Thompson, Abbey A.M.; Cree, Ian; Sotiriou, Christos; Solinas, Cinzia; Preusser, Matthias; Hewitt, Stephen M; Rimm, David D.L.; Viale, Giuseppe; Loi, S.; Loibl, Sibylle; Salgado, Roberto; Denkert, Carsten
Informations sur la publication:	Seminars in cancer biology, 52, page (151-157)
Statut de publication:	Publié, 2018-10-01
Sujet CREF:	Cancérologie
	Enseignement des sciences bio-médicales et agricoles
	Médecine pathologie humaine
MeSH keywords:	Biomarkers, Tumor -- metabolism
	Humans
	Lymphocytes, Tumor-Infiltrating -- metabolism -- pathology
	Machine Learning
	Neoplasms -- metabolism -- pathology
Note générale:	SCOPUS: re.j
Langue:	Anglais
Identificateurs:	urn:issn:1044-579X
	info:doi/10.1016/j.semcancer.2018.07.001
	info:pii/S1044579X1830066X
	info:scp/85049578294
	info:pmid/29990622