Deep learning for prediction of isocitrate dehydrogenase mutation in gliomas: a critical approach, systematic review and meta-analysis of the diagnostic test performance using a Bayesian approach
Author(s) -
Mert Karabacak,
Burak Berksu Ozkara,
Seren Mordag,
Sotirios Bisdas
Publication year - 2022
Publication title -
quantitative imaging in medicine and surgery
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.766
H-Index - 21
eISSN - 2223-4292
pISSN - 2223-4306
DOI - 10.21037/qims-22-34
Subject(s) - isocitrate dehydrogenase , cochrane library , receiver operating characteristic , medicine , bayes' theorem , checklist , machine learning , artificial intelligence , medical physics , meta analysis , algorithm , computer science , pathology , bayesian probability , psychology , biology , biochemistry , enzyme , cognitive psychology
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