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Angelucci Domenico

Breast Center EUSOMA - Unit of Pathology

Ortona, Chieti

Italy

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Scholarly Papers (1)

1.

MRI-Based Radiomics Approach Predicts Tumor Recurrence in ER+/HER2- Early Breast Cancer Patients

Number of pages: 23 Posted: 14 Feb 2022
'Gabriele d'Annunzio' University of Chieti-Pescara - Department of Innovative Technologies in Medicine and Odonoiatry, Stanford University - Department of Radiology, 'Gabriele d'Annunzio' University of Chieti-Pescara - Imaging and Clinical Sciences, University G. d’Annunzio of Chieti-Pescara - Center of Advanced Studies and Technology (CAST), “Santissima Annunziata” Hospital - Unit of Radiology, University “G. d’Annunzio” Chieti–Pescara - Department of Neurosciences, Imaging and Clinical Sciences, “Santissima Annunziata” Hospital - Unit of Radiology, “Santissima Annunziata” Hospital - Unit of Radiology, Breast Center EUSOMA - Unit of Pathology, “Santissima Annunziata” Hospital - Unit of Radiology, Breast Center EUSOMA - Unit of Pathology, University G. d’Annunzio of Chieti-Pescara - Unit of Ultrasound in Internal Medicine, “Santissima Annunziata” Hospital - Unit of Radiology, “Renzetti” Hospital - Unit of Radiology, “Gaetano Bernabeo” Hospital - Breast Unit, University “G. d’Annunzio” Chieti–Pescara - Department of Neurosciences, Imaging and Clinical Sciences, “Gaetano Bernabeo” Hospital - Breast Unit and 'Gabriele d'Annunzio' University of Chieti-Pescara - Department of Innovative Technologies in Medicine and Odonoiatry
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Abstract:

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Artificial intelligence, breast cancer, Oncotype DX, machine learning, magnetic resonance imaging