Article révisé par les pairs
Titre:
  • Automated analysis of proliferating cells spatial organisation predicts prognosis in lung neuroendocrine neoplasms
Auteur:Bulloni, Matteo; Sandrini, Giada; Stacchiotti, Irene; Barberis, Massimo; Calabrese, Fiorella; Carvalho, Lina; Fontanini, Gabriella; Alì, Greta; Fortarezza, Francesco; Hofman, Paul; Hofman, Veronique; Kern, Izidor; Maiorano, Eugenio; Maragliano, Roberta; Marchiori, Deborah; Metovic, Jasna; Papotti, Mauro; Pezzuto, Federica; Pisa, Eleonora; Remmelink, Myriam; Serio, Gabriella; Marzullo, Andrea; Trabucco, Senia Maria Rosaria; Pennella, Antonio; De Palma, Angela; Marulli, Giuseppe; Fassina, Ambrogio; Maffeis, Valeria; Nesi, Gabriella; Naheed, Salma; Rea, Federico; Ottensmeier, Christian; Sessa, Fausto; Uccella, Silvia; Pelosi, Giuseppe; Pattini, Linda
Informations sur la publication:Cancers (Basel), 13, 19, 4875
Statut de publication:Publié, 2021-10
Sujet CREF:Cancérologie
Sciences bio-médicales et agricoles
Mots-clés:Histopathology
Ki-67
Lung cancer
Lung neuroendocrine neoplasms
Machine learning
Prognosis
Whole-slide image
Note générale:SCOPUS: ar.j
Langue:Anglais
Identificateurs:urn:issn:2072-6694
info:doi/10.3390/cancers13194875
info:scp/85115959889

Documents en relation

DI-fusion