Deep Learning for the Classification of Small-Cell and Non-Small-Cell Lung Cancer

Deep Learning for the Classification of Small-Cell and Non-Small-Cell Lung Cancer

Reliable entity subtyping is paramount for therapy stratification in lung cancer. Morphological evaluation remains the basis for entity subtyping and directs the application of additional methods such as immunohistochemistry (IHC). The decision of whether to perform IHC for subtyping is subjective,...

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Bibliographic Details
Main Authors: Mark Kriegsmann, Christian Haag, Cleo-Aron Weis, Georg Steinbuss, Arne Warth, Christiane Zgorzelski, Thomas Muley, Hauke Winter, Martin E. Eichhorn, Florian Eichhorn, Joerg Kriegsmann, Petros Christopoulos, Michael Thomas, Mathias Witzens-Harig, Peter Sinn, Moritz von Winterfeld, Claus Peter Heussel, Felix J. F. Herth, Frederick Klauschen, Albrecht Stenzinger, Katharina Kriegsmann
Format: Article
Language:English
Published: MDPI AG 2020-06-01
Series:Cancers
Subjects:
artificial intelligence
deep learning
lung cancer
histology
non-small cell lung cancer
small cell lung cancer
Online Access:https://www.mdpi.com/2072-6694/12/6/1604

Internet

https://www.mdpi.com/2072-6694/12/6/1604

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