Transfer learning classification of suspicious lesions on breast ultrasound: is there room to avoid biopsies of benign lesions?

Transfer learning classification of suspicious lesions on breast ultrasound: is there room to avoid biopsies of benign lesions?

Abstract Background Breast cancer (BC) is the most common malignancy in women and the second cause of cancer death. In recent years, there has been a strong development in artificial intelligence (AI) applications in medical imaging for several tasks. Our aim was to evaluate the potential of transfe...

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Bibliographic Details
Main Authors: Paolo De Marco, Valerio Ricciardi, Marta Montesano, Enrico Cassano, Daniela Origgi
Format: Article
Language:English
Published: SpringerOpen 2024-10-01
Series:European Radiology Experimental
Subjects:
Artificial intelligence
Breast neoplasms
Machine learning
Neural networks (computer)
Ultrasound
Online Access:https://doi.org/10.1186/s41747-024-00480-y

Internet

https://doi.org/10.1186/s41747-024-00480-y

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