A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

A machine learning approach for differentiating malignant from benign enhancing foci on breast MRI

Abstract Background Differentiate malignant from benign enhancing foci on breast magnetic resonance imaging (MRI) through radiomic signature. Methods Forty-five enhancing foci in 45 patients were included in this retrospective study, with needle biopsy or imaging follow-up serving as a reference sta...

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Bibliographic Details
Main Authors: Natascha C. D’Amico, Enzo Grossi, Giovanni Valbusa, Francesca Rigiroli, Bernardo Colombo, Massimo Buscema, Deborah Fazzini, Marco Ali, Ala Malasevschi, Gianpaolo Cornalba, Sergio Papa
Format: Article
Language:English
Published: SpringerOpen 2020-01-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Breast neoplasms
Gadobenic acid
Machine learning
Magnetic resonance imaging
Online Access:https://doi.org/10.1186/s41747-019-0131-4

Internet

https://doi.org/10.1186/s41747-019-0131-4

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