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Beyond Cancer Detection: An AI Framework for Multidimensional Risk Profiling on Contrast-Enhanced Mammography

<b>Purpose</b>: The purpose of this study is to assess whether AI-based models improve reproducibility of breast density (BD) and background parenchymal enhancement (BPE) classification and to explore whether contrast-enhanced mammography (CEM) can serve as a proof-of-concept platform for systemic r...

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Principais autores: Graziella Di Grezia, Antonio Nazzaro, Elisa Cisternino, Alessandro Galiano, Luca Marinelli, Sara Mercogliano, Vincenzo Cuccurullo, Gianluca Gatta
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2025-11-01
Serier:Diagnostics
Fag:
background parenchymal enhancement
breast density
contrast-enhanced mammography
deep learning
interobserver variability
multi-task learning
Online adgang:https://www.mdpi.com/2075-4418/15/21/2788
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