Raimondo, D.; Raffone, A.; Aru, A.C.; Giorgi, M.; Giaquinto, I.; Spagnolo, E.; Travaglino, A.; Galatolo, F.A.; Cimino, M.G.C.A.; Lenzi, J.;
et al. Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis. Int. J. Environ. Res. Public Health 2023, 20, 1724.
https://doi.org/10.3390/ijerph20031724
AMA Style
Raimondo D, Raffone A, Aru AC, Giorgi M, Giaquinto I, Spagnolo E, Travaglino A, Galatolo FA, Cimino MGCA, Lenzi J,
et al. Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis. International Journal of Environmental Research and Public Health. 2023; 20(3):1724.
https://doi.org/10.3390/ijerph20031724
Chicago/Turabian Style
Raimondo, Diego, Antonio Raffone, Anna Chiara Aru, Matteo Giorgi, Ilaria Giaquinto, Emanuela Spagnolo, Antonio Travaglino, Federico Andrea Galatolo, Mario Giovanni Cosimo Antonio Cimino, Jacopo Lenzi,
and et al. 2023. "Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis" International Journal of Environmental Research and Public Health 20, no. 3: 1724.
https://doi.org/10.3390/ijerph20031724
APA Style
Raimondo, D., Raffone, A., Aru, A. C., Giorgi, M., Giaquinto, I., Spagnolo, E., Travaglino, A., Galatolo, F. A., Cimino, M. G. C. A., Lenzi, J., Centini, G., Lazzeri, L., Mollo, A., Seracchioli, R., & Casadio, P.
(2023). Application of Deep Learning Model in the Sonographic Diagnosis of Uterine Adenomyosis. International Journal of Environmental Research and Public Health, 20(3), 1724.
https://doi.org/10.3390/ijerph20031724