Pilot Study for the Assessment of the Best Radiomic Features for Bosniak Cyst Classification Using Phantom and Radiologist Inter-Observer Selection

Since the Bosniak cysts classification is highly reader-dependent, automated tools based on radiomics could help in the diagnosis of the lesion. This study is an initial step in the search for radiomic features that may be good classifiers of benign–malignant Bosniak cysts in machine learning models...

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Detalles Bibliográficos
Autores principales: Aymerich, María, Riveira-Martín, Mercedes, García-Baizán, Alejandra, González-Pena, Mariña, Sebastià, Carmen, López-Medina, Antonio, Mesa-Álvarez, Alicia, Tardágila de la Fuente, Gonzalo, Méndez-Castrillón, Marta, Berbel-Rodríguez, Andrea, Matos-Ugas, Alejandra C., Berenguer, Roberto, Sabater, Sebastià, Otero-García, Milagros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137782/
https://www.ncbi.nlm.nih.gov/pubmed/37189486
http://dx.doi.org/10.3390/diagnostics13081384

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10137782/
https://www.ncbi.nlm.nih.gov/pubmed/37189486
http://dx.doi.org/10.3390/diagnostics13081384

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