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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Detalles Bibliográficos
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: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031738/
https://www.ncbi.nlm.nih.gov/pubmed/35454869
http://dx.doi.org/10.3390/cancers14081964

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031738/
https://www.ncbi.nlm.nih.gov/pubmed/35454869
http://dx.doi.org/10.3390/cancers14081964

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