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Interpretable Machine Learning for Characterization of Focal Liver Lesions by Contrast-Enhanced Ultrasound

This work proposes an interpretable radiomics approach to differentiate between malignant and benign focal liver lesions (FLLs) on contrast-enhanced ultrasound (CEUS). Although CEUS has shown promise for differential FLLs diagnosis, current clinical assessment is performed only by qualitative analys...

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Detalles Bibliográficos
Autores principales:	Turco, Simona, Tiyarattanachai, Thodsawit, Ebrahimkheil, Kambez, Eisenbrey, John, Kamaya, Aya, Mischi, Massimo, Lyshchik, Andrej, El Kaffas, Ahmed
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	2022
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188683/ https://www.ncbi.nlm.nih.gov/pubmed/35320099 http://dx.doi.org/10.1109/TUFFC.2022.3161719

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