Artificial Intelligence-Based Segmentation of Residual Tumor in Histopathology of Pancreatic Cancer after Neoadjuvant Treatment

Artificial Intelligence-Based Segmentation of Residual Tumor in Histopathology of Pancreatic Cancer after Neoadjuvant Treatment

Background: Histologic examination of resected pancreatic cancer after neoadjuvant therapy (NAT) is used to assess the effect of NAT and may guide the choice for adjuvant treatment. However, evaluating residual tumor burden in pancreatic cancer is challenging given tumor response heterogeneity and c...

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Bibliographic Details
Main Authors: Boris V. Janssen, Rutger Theijse, Stijn van Roessel, Rik de Ruiter, Antonie Berkel, Joost Huiskens, Olivier R. Busch, Johanna W. Wilmink, Geert Kazemier, Pieter Valkema, Arantza Farina, Joanne Verheij, Onno J. de Boer, Marc G. Besselink
Format: Article
Language:English
Published: MDPI AG 2021-10-01
Series:Cancers
Subjects:
pancreatic cancer
histopathology
tumor response scoring
neoadjuvant therapy
artificial intelligence
machine learning
Online Access:https://www.mdpi.com/2072-6694/13/20/5089

Internet

https://www.mdpi.com/2072-6694/13/20/5089

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