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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Publicado en:	Current Oncology Vol. 29; no. 3; pp. 1947 - 1967
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:	equations & formulas research tables/charts Journal Article
Publicado:	MDPI Mar2022
Acceso en línea:	Ver este registro en EBSCOhost