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...

Full description

Bibliographic Details

Published in:	Current Oncology Vol. 29; no. 3; pp. 1947 - 1967
Main Authors:	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
Format:	equations & formulas research tables/charts Journal Article
Published:	MDPI Mar2022
Online Access:	View this record in EBSCOhost