Radiomics for Differentiation of Pediatric Posterior Fossa Tumors: A Meta-Analysis and Systematic Review of the Literature

Radiomics for Differentiation of Pediatric Posterior Fossa Tumors: A Meta-Analysis and Systematic Review of the Literature

Purpose: To better define the overall performance of the current radiomics-based models for the discrimination of pediatric posterior fossa tumors. Methods: A comprehensive literature search of the databases PubMed, Ovid MEDLINE, Ovid EMBASE, Web of Science, and Scopus was designed and conducted by...

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Bibliographic Details
Main Authors: Alexandru Garaba, Francesco Ponzio, Eleonora Agata Grasso, Waleed Brinjikji, Marco Maria Fontanella, Lucio De Maria
Format: Article
Language:English
Published: MDPI AG 2023-12-01
Series:Cancers
Subjects:
radiomics
machine learning
deep learning
pediatric tumors
posterior fossa
systematic review
Online Access:https://www.mdpi.com/2072-6694/15/24/5891

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https://www.mdpi.com/2072-6694/15/24/5891

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