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...
| Published in: | Cancers Vol. 14; no. 8; pp. 1964 - 1984 |
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| Main Authors: | , , , , , , , , , , |
| Format: | equations & formulas pictorial research tables/charts Journal Article |
| Published: |
MDPI
Apr2022
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| Online Access: | View this record in EBSCOhost |