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

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

Pancreatic cancer is a fatal malignancy with poor prognosis and limited treatment options. Early detection in primary and secondary locations is critical, but fraught with challenges. While digital pathology can assist with the classification of histopathological images, the training of such network...

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Bibliographic Details
Main Authors: Esposito, I. (Author), Haeberle, L. (Author), Krings, K.S (Author), Kronberg, R.M (Author), Lang, K.S (Author), Lang, P.A (Author), Pandyra, A.A (Author), Pfaus, M. (Author), Rau, T. (Author), Schlensog, M. (Author), Xu, H.C (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
computer vision
deep learning
metastases
pancreatic cancer
pancreatic ductal adenocarcinoma
transfer learning
Online Access:View Fulltext in Publisher

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