Mangone, M.; Diko, A.; Giuliani, L.; Agostini, F.; Paoloni, M.; Bernetti, A.; Santilli, G.; Conti, M.; Savina, A.; Iudicelli, G.;
et al. A Machine Learning Approach for Knee Injury Detection from Magnetic Resonance Imaging. Int. J. Environ. Res. Public Health 2023, 20, 6059.
https://doi.org/10.3390/ijerph20126059
AMA Style
Mangone M, Diko A, Giuliani L, Agostini F, Paoloni M, Bernetti A, Santilli G, Conti M, Savina A, Iudicelli G,
et al. A Machine Learning Approach for Knee Injury Detection from Magnetic Resonance Imaging. International Journal of Environmental Research and Public Health. 2023; 20(12):6059.
https://doi.org/10.3390/ijerph20126059
Chicago/Turabian Style
Mangone, Massimiliano, Anxhelo Diko, Luca Giuliani, Francesco Agostini, Marco Paoloni, Andrea Bernetti, Gabriele Santilli, Marco Conti, Alessio Savina, Giovanni Iudicelli,
and et al. 2023. "A Machine Learning Approach for Knee Injury Detection from Magnetic Resonance Imaging" International Journal of Environmental Research and Public Health 20, no. 12: 6059.
https://doi.org/10.3390/ijerph20126059
APA Style
Mangone, M., Diko, A., Giuliani, L., Agostini, F., Paoloni, M., Bernetti, A., Santilli, G., Conti, M., Savina, A., Iudicelli, G., Ottonello, C., & Santilli, V.
(2023). A Machine Learning Approach for Knee Injury Detection from Magnetic Resonance Imaging. International Journal of Environmental Research and Public Health, 20(12), 6059.
https://doi.org/10.3390/ijerph20126059