Nicosia, L.; Pesapane, F.; Bozzini, A.C.; Latronico, A.; Rotili, A.; Ferrari, F.; Signorelli, G.; Raimondi, S.; Vignati, S.; Gaeta, A.;
et al. Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice. Cancers 2023, 15, 964.
https://doi.org/10.3390/cancers15030964
AMA Style
Nicosia L, Pesapane F, Bozzini AC, Latronico A, Rotili A, Ferrari F, Signorelli G, Raimondi S, Vignati S, Gaeta A,
et al. Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice. Cancers. 2023; 15(3):964.
https://doi.org/10.3390/cancers15030964
Chicago/Turabian Style
Nicosia, Luca, Filippo Pesapane, Anna Carla Bozzini, Antuono Latronico, Anna Rotili, Federica Ferrari, Giulia Signorelli, Sara Raimondi, Silvano Vignati, Aurora Gaeta,
and et al. 2023. "Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice" Cancers 15, no. 3: 964.
https://doi.org/10.3390/cancers15030964
APA Style
Nicosia, L., Pesapane, F., Bozzini, A. C., Latronico, A., Rotili, A., Ferrari, F., Signorelli, G., Raimondi, S., Vignati, S., Gaeta, A., Bellerba, F., Origgi, D., De Marco, P., Castiglione Minischetti, G., Sangalli, C., Montesano, M., Palma, S., & Cassano, E.
(2023). Prediction of the Malignancy of a Breast Lesion Detected on Breast Ultrasound: Radiomics Applied to Clinical Practice. Cancers, 15(3), 964.
https://doi.org/10.3390/cancers15030964