Astolfi, R.S.; da Silva, D.S.; Guedes, I.S.; Nascimento, C.S.; Damaševičius, R.; Jagatheesaperumal, S.K.; de Albuquerque, V.H.C.; Leite, J.A.D.
Computer-Aided Ankle Ligament Injury Diagnosis from Magnetic Resonance Images Using Machine Learning Techniques. Sensors 2023, 23, 1565.
https://doi.org/10.3390/s23031565
AMA Style
Astolfi RS, da Silva DS, Guedes IS, Nascimento CS, Damaševičius R, Jagatheesaperumal SK, de Albuquerque VHC, Leite JAD.
Computer-Aided Ankle Ligament Injury Diagnosis from Magnetic Resonance Images Using Machine Learning Techniques. Sensors. 2023; 23(3):1565.
https://doi.org/10.3390/s23031565
Chicago/Turabian Style
Astolfi, Rodrigo S., Daniel S. da Silva, Ingrid S. Guedes, Caio S. Nascimento, Robertas Damaševičius, Senthil K. Jagatheesaperumal, Victor Hugo C. de Albuquerque, and José Alberto D. Leite.
2023. "Computer-Aided Ankle Ligament Injury Diagnosis from Magnetic Resonance Images Using Machine Learning Techniques" Sensors 23, no. 3: 1565.
https://doi.org/10.3390/s23031565
APA Style
Astolfi, R. S., da Silva, D. S., Guedes, I. S., Nascimento, C. S., Damaševičius, R., Jagatheesaperumal, S. K., de Albuquerque, V. H. C., & Leite, J. A. D.
(2023). Computer-Aided Ankle Ligament Injury Diagnosis from Magnetic Resonance Images Using Machine Learning Techniques. Sensors, 23(3), 1565.
https://doi.org/10.3390/s23031565
