Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis

Implementation of deep learning in liver pathology optimizes diagnosis of benign lesions and adenocarcinoma metastasis

Abstract Introduction Differentiation of histologically similar structures in the liver, including anatomical structures, benign bile duct lesions, or common types of liver metastases, can be challenging with conventional histological tissue sections alone. Accurate histopathological classification...

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Bibliographic Details
Main Authors: Mark Kriegsmann, Katharina Kriegsmann, Georg Steinbuss, Christiane Zgorzelski, Thomas Albrecht, Stefan Heinrich, Stefan Farkas, Wilfried Roth, Hien Dang, Anne Hausen, Matthias M. Gaida
Format: Article
Language:English
Published: Wiley 2023-07-01
Series:Clinical and Translational Medicine
Subjects:
artificial intelligence
deep learning
liver metastasis
liver pathology
personalized medicine
Online Access:https://doi.org/10.1002/ctm2.1299

Internet

https://doi.org/10.1002/ctm2.1299

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