Communicator-Driven Data Preprocessing Improves Deep Transfer Learning of Histopathological Prediction of Pancreatic Ductal Adenocarcinoma.

Simple Summary: Pancreatic cancer has a dismal prognosis and its diagnosis can be challenging. Histopathological slides can be digitalized and their analysis can then be supported by computer algorithms. For this purpose, computer algorithms (neural networks) need to be trained to detect the desired...

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Publicado en:	Cancers Vol. 14; no. 8; pp. 1964 - 1984
Autores principales:	Kronberg, Raphael M., Haeberle, Lena, Pfaus, Melanie, Xu, Haifeng C., Krings, Karina S., Schlensog, Martin, Rau, Tilman, Pandyra, Aleksandra A., Lang, Karl S., Esposito, Irene, Lang, Philipp A.
Formato:	equations & formulas pictorial research tables/charts Journal Article
Publicado:	MDPI Apr2022
Acceso en línea:	Ver este registro en EBSCOhost