Antone, N.Z.; Pintican, R.; Manole, S.; Fodor, L.-A.; Lucaciu, C.; Roman, A.; Trifa, A.; Catana, A.; Lisencu, C.; Buiga, R.;
et al. Predicting Pathogenic Variants of Breast Cancer Using Ultrasound-Derived Machine Learning Models. Cancers 2025, 17, 1019.
https://doi.org/10.3390/cancers17061019
AMA Style
Antone NZ, Pintican R, Manole S, Fodor L-A, Lucaciu C, Roman A, Trifa A, Catana A, Lisencu C, Buiga R,
et al. Predicting Pathogenic Variants of Breast Cancer Using Ultrasound-Derived Machine Learning Models. Cancers. 2025; 17(6):1019.
https://doi.org/10.3390/cancers17061019
Chicago/Turabian Style
Antone, Nicoleta Zenovia, Roxana Pintican, Simona Manole, Liviu-Andrei Fodor, Carina Lucaciu, Andrei Roman, Adrian Trifa, Andreea Catana, Carmen Lisencu, Rares Buiga,
and et al. 2025. "Predicting Pathogenic Variants of Breast Cancer Using Ultrasound-Derived Machine Learning Models" Cancers 17, no. 6: 1019.
https://doi.org/10.3390/cancers17061019
APA Style
Antone, N. Z., Pintican, R., Manole, S., Fodor, L.-A., Lucaciu, C., Roman, A., Trifa, A., Catana, A., Lisencu, C., Buiga, R., Vlad, C., & Achimas Cadariu, P.
(2025). Predicting Pathogenic Variants of Breast Cancer Using Ultrasound-Derived Machine Learning Models. Cancers, 17(6), 1019.
https://doi.org/10.3390/cancers17061019