Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions

Purpose:The purpose of this study was to discriminate between benign and malignant breast lesions through several classifiers using, as predictors, radiomic metrics extracted from CEM and DCE-MRI images. In order to optimize the analysis, balancing and feature selection procedures were performed. Me...

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Detalles Bibliográficos
Autores principales: Fusco, Roberta, Di Bernardo, Elio, Piccirillo, Adele, Rubulotta, Maria Rosaria, Petrosino, Teresa, Barretta, Maria Luisa, Mattace Raso, Mauro, Vallone, Paolo, Raiano, Concetta, Di Giacomo, Raimondo, Siani, Claudio, Avino, Franca, Scognamiglio, Giosuè, Di Bonito, Maurizio, Granata, Vincenza, Petrillo, Antonella
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947713/
https://www.ncbi.nlm.nih.gov/pubmed/35323359
http://dx.doi.org/10.3390/curroncol29030159

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8947713/
https://www.ncbi.nlm.nih.gov/pubmed/35323359
http://dx.doi.org/10.3390/curroncol29030159

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