Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma

Image-Based Molecular Phenotyping of Pancreatic Ductal Adenocarcinoma

To bridge the translational gap between recent discoveries of distinct molecular phenotypes of pancreatic cancer and tangible improvements in patient outcome, there is an urgent need to develop strategies and tools informing and improving the clinical decision process. Radiomics and machine learning...

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Bibliographic Details
Main Authors: Georgios A. Kaissis, Sebastian Ziegelmayer, Fabian K. Lohöfer, Felix N. Harder, Friederike Jungmann, Daniel Sasse, Alexander Muckenhuber, Hsi-Yu Yen, Katja Steiger, Jens Siveke, Helmut Friess, Roland Schmid, Wilko Weichert, Marcus R. Makowski, Rickmer F. Braren
Format: Article
Language:English
Published: MDPI AG 2020-03-01
Series:Journal of Clinical Medicine
Subjects:
radiomics
pancreatic cancer
molecular subtypes
Online Access:https://www.mdpi.com/2077-0383/9/3/724

Internet

https://www.mdpi.com/2077-0383/9/3/724

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