Brehar, R.; Mitrea, D.-A.; Vancea, F.; Marita, T.; Nedevschi, S.; Lupsor-Platon, M.; Rotaru, M.; Badea, R.I.
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors 2020, 20, 3085.
https://doi.org/10.3390/s20113085
AMA Style
Brehar R, Mitrea D-A, Vancea F, Marita T, Nedevschi S, Lupsor-Platon M, Rotaru M, Badea RI.
Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors. 2020; 20(11):3085.
https://doi.org/10.3390/s20113085
Chicago/Turabian Style
Brehar, Raluca, Delia-Alexandrina Mitrea, Flaviu Vancea, Tiberiu Marita, Sergiu Nedevschi, Monica Lupsor-Platon, Magda Rotaru, and Radu Ioan Badea.
2020. "Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images" Sensors 20, no. 11: 3085.
https://doi.org/10.3390/s20113085
APA Style
Brehar, R., Mitrea, D. -A., Vancea, F., Marita, T., Nedevschi, S., Lupsor-Platon, M., Rotaru, M., & Badea, R. I.
(2020). Comparison of Deep-Learning and Conventional Machine-Learning Methods for the Automatic Recognition of the Hepatocellular Carcinoma Areas from Ultrasound Images. Sensors, 20(11), 3085.
https://doi.org/10.3390/s20113085
