Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images

Deep Learning Prediction of Metastasis in Locally Advanced Colon Cancer Using Binary Histologic Tumor Images

In this study, we developed the Binary ImaGe Colon Metastasis classifier (BIg-CoMet), a semi-guided approach for the stratification of colon cancer patients into two risk groups for the occurrence of distant metastasis, using an InceptionResNetV2-based deep learning model trained on binary images. W...

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Bibliographic Details
Main Authors: Stefan Schiele, Tim Tobias Arndt, Benedikt Martin, Silvia Miller, Svenja Bauer, Bettina Monika Banner, Eva-Maria Brendel, Gerhard Schenkirsch, Matthias Anthuber, Ralf Huss, Bruno Märkl, Gernot Müller
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Cancers
Subjects:
colon cancer
tumor stroma ratio
pattern
deep learning
tumor architecture
prognostic biomarker
Online Access:https://www.mdpi.com/2072-6694/13/9/2074

Internet

https://www.mdpi.com/2072-6694/13/9/2074

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