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

Internet

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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