Daoud, M.I.; Al-Ali, A.; Alazrai, R.; Al-Najar, M.S.; Alsaify, B.A.; Ali, M.Z.; Alouneh, S.
An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images. Sensors 2022, 22, 6721.
https://doi.org/10.3390/s22186721
AMA Style
Daoud MI, Al-Ali A, Alazrai R, Al-Najar MS, Alsaify BA, Ali MZ, Alouneh S.
An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images. Sensors. 2022; 22(18):6721.
https://doi.org/10.3390/s22186721
Chicago/Turabian Style
Daoud, Mohammad I., Aamer Al-Ali, Rami Alazrai, Mahasen S. Al-Najar, Baha A. Alsaify, Mostafa Z. Ali, and Sahel Alouneh.
2022. "An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images" Sensors 22, no. 18: 6721.
https://doi.org/10.3390/s22186721
APA Style
Daoud, M. I., Al-Ali, A., Alazrai, R., Al-Najar, M. S., Alsaify, B. A., Ali, M. Z., & Alouneh, S.
(2022). An Edge-Based Selection Method for Improving Regions-of-Interest Localizations Obtained Using Multiple Deep Learning Object-Detection Models in Breast Ultrasound Images. Sensors, 22(18), 6721.
https://doi.org/10.3390/s22186721
