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

<b>Purpose</b>: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 perfor...

Descripción completa

Detalles Bibliográficos

Autores principales:	Roberta Fusco, Elio Di Bernardo, Adele Piccirillo, Maria Rosaria Rubulotta, Teresa Petrosino, Maria Luisa Barretta, Mauro Mattace Raso, Paolo Vallone, Concetta Raiano, Raimondo Di Giacomo, Claudio Siani, Franca Avino, Giosuè Scognamiglio, Maurizio Di Bonito, Vincenza Granata, Antonella Petrillo
Formato:	Artigo
Lenguaje:	Inglês
Publicado:	MDPI AG 2022-03-01
Colección:	Current Oncology
Materias:	contrast-enhanced mammography magnetic resonance imaging image enhancement contrast media radiomics artificial intelligence
Acceso en línea:	https://www.mdpi.com/1718-7729/29/3/159
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!