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RadiomiX for Radiomics Analysis: Automated Approaches to Overcome Challenges in Replicability

<b>Background/Objectives:</b> To simplify the decision-making process in radiomics by employing RadiomiX, an algorithm designed to automatically identify the best model combination and validate them across multiple environments was developed, thus enhancing the reliability of results. <b>Methods</b>...

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Principais autores: Harel Kotler, Luca Bergamin, Fabio Aiolli, Elena Scagliori, Angela Grassi, Giulia Pasello, Alessandra Ferro, Francesca Caumo, Gisella Gennaro
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-08-01
Serier:Diagnostics
Fag:
radiomics
lung cancer
breast cancer
hepatic encephalopathy
machine learning
replicability
Online adgang:https://www.mdpi.com/2075-4418/15/15/1968
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