Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images

Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images

The diagnosis and the subtyping of non-Hodgkin lymphoma (NHL) are challenging and require expert knowledge, great experience, thorough morphological analysis, and often additional expensive immunohistological and molecular methods. As these requirements are not always available, supplemental methods...

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Bibliographic Details
Main Authors: Georg Steinbuss, Mark Kriegsmann, Christiane Zgorzelski, Alexander Brobeil, Benjamin Goeppert, Sascha Dietrich, Gunhild Mechtersheimer, Katharina Kriegsmann
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Cancers
Subjects:
deep learning
artificial intelligence
DLBCL
CLL/SLL
histopathology
CNN
Online Access:https://www.mdpi.com/2072-6694/13/10/2419

Internet

https://www.mdpi.com/2072-6694/13/10/2419

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