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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主要な著者:	Harel Kotler, Luca Bergamin, Fabio Aiolli, Elena Scagliori, Angela Grassi, Giulia Pasello, Alessandra Ferro, Francesca Caumo, Gisella Gennaro
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2025-08-01
シリーズ:	Diagnostics
主題:	radiomics lung cancer breast cancer hepatic encephalopathy machine learning replicability
オンライン･アクセス:	https://www.mdpi.com/2075-4418/15/15/1968
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