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Luana Conte, Benedetta Tafuri, Maurizio Portaluri, Alessandro Galiano, Eleonora Maggiulli and Giorgio De Nunzio
Automatic CAD system in detecting tumors as a valuable support to radiologists for detection and characterization of breast cancers in dynamic contrast-enhanced magnetic resonance imaging (DCE?MRI) images.
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Mohammed El Adoui, Sidi Ahmed Mahmoudi, Mohamed Amine Larhmam and Mohammed Benjelloun
Breast tumor segmentation in medical images is a decisive step for diagnosis and treatment follow-up. Automating this challenging task helps radiologists to reduce the high manual workload of breast cancer analysis. In this paper, we propose two deep lea...
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Roberta Fusco, Adele Piccirillo, Mario Sansone, Vincenza Granata, Paolo Vallone, Maria Luisa Barretta, Teresa Petrosino, Claudio Siani, Raimondo Di Giacomo, Maurizio Di Bonito, Gerardo Botti and Antonella Petrillo
Purpose: The aim of the study was to estimate the diagnostic accuracy of textural, morphological and dynamic features, extracted by dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) images, by carrying out univariate and multivariate statist...
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