Calabrese, A.; Santucci, D.; Gravina, M.; Faiella, E.; Cordelli, E.; Soda, P.; Iannello, G.; Sansone, C.; Zobel, B.B.; Catalano, C.;
et al. 3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study. Cancers 2023, 15, 36.
https://doi.org/10.3390/cancers15010036
AMA Style
Calabrese A, Santucci D, Gravina M, Faiella E, Cordelli E, Soda P, Iannello G, Sansone C, Zobel BB, Catalano C,
et al. 3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study. Cancers. 2023; 15(1):36.
https://doi.org/10.3390/cancers15010036
Chicago/Turabian Style
Calabrese, Alessandro, Domiziana Santucci, Michela Gravina, Eliodoro Faiella, Ermanno Cordelli, Paolo Soda, Giulio Iannello, Carlo Sansone, Bruno Beomonte Zobel, Carlo Catalano,
and et al. 2023. "3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study" Cancers 15, no. 1: 36.
https://doi.org/10.3390/cancers15010036
APA Style
Calabrese, A., Santucci, D., Gravina, M., Faiella, E., Cordelli, E., Soda, P., Iannello, G., Sansone, C., Zobel, B. B., Catalano, C., & de Felice, C.
(2023). 3T-MRI Artificial Intelligence in Patients with Invasive Breast Cancer to Predict Distant Metastasis Status: A Pilot Study. Cancers, 15(1), 36.
https://doi.org/10.3390/cancers15010036
