An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images

An evolutionary algorithm-based optimization method for the classification and quantification of steatosis prevalence in liver biopsy images

Non-alcoholic fatty liver disease (NAFLD) covers a range of chronic medical conditions varying from hepatocellular inflammation which characterizes nonalcoholic steatohepatitis (NASH) to steatosis, as the key element of a nonalcoholic fatty liver (NAFL). It is globally linked to the increasing preva...

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Bibliographic Details
Main Authors: Alexandros Arjmand, Vasileios Christou, Ioannis G. Tsoulos, Markos G. Tsipouras, Alexandros T. Tzallas, Christos Gogos, Euripidis Glavas, Nikolaos Giannakeas
Format: Article
Language:English
Published: Elsevier 2021-09-01
Series:Array
Subjects:
Liver biopsy
Steatohepatitis
Fatty liver
Image analysis
Machine learning
Evolutionary algorithms
Online Access:http://www.sciencedirect.com/science/article/pii/S2590005621000266

Internet

http://www.sciencedirect.com/science/article/pii/S2590005621000266

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