Galati, F.; Maroncelli, R.; De Nardo, C.; Testa, L.; Barcaroli, G.; Rizzo, V.; Moffa, G.; Pediconi, F. Deep Learning with Transfer Learning on Digital Breast Tomosynthesis: A Radiomics-Based Model for Predicting Breast Cancer Risk. Diagnostics 2025, 15, 1631. https://doi.org/10.3390/diagnostics15131631

AMA Style

Galati F, Maroncelli R, De Nardo C, Testa L, Barcaroli G, Rizzo V, Moffa G, Pediconi F. Deep Learning with Transfer Learning on Digital Breast Tomosynthesis: A Radiomics-Based Model for Predicting Breast Cancer Risk. Diagnostics. 2025; 15(13):1631. https://doi.org/10.3390/diagnostics15131631

Chicago/Turabian Style

Galati, Francesca, Roberto Maroncelli, Chiara De Nardo, Lucia Testa, Gloria Barcaroli, Veronica Rizzo, Giuliana Moffa, and Federica Pediconi. 2025. "Deep Learning with Transfer Learning on Digital Breast Tomosynthesis: A Radiomics-Based Model for Predicting Breast Cancer Risk" Diagnostics 15, no. 13: 1631. https://doi.org/10.3390/diagnostics15131631

APA Style

Galati, F., Maroncelli, R., De Nardo, C., Testa, L., Barcaroli, G., Rizzo, V., Moffa, G., & Pediconi, F. (2025). Deep Learning with Transfer Learning on Digital Breast Tomosynthesis: A Radiomics-Based Model for Predicting Breast Cancer Risk. Diagnostics, 15(13), 1631. https://doi.org/10.3390/diagnostics15131631

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article Access Statistics

For more information on the journal statistics, click here.

Multiple requests from the same IP address are counted as one view.

Article Menu

Article Versions Notes

Further Information

Guidelines

MDPI Initiatives

Follow MDPI