Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta -analysis.

MLA

Londono, Jimmy, et al. “Evaluation of Deep Learning and Convolutional Neural Network Algorithms Accuracy for Detecting and Predicting Anatomical Landmarks on 2D Lateral Cephalometric Images: A Systematic Review and Meta -Analysis.” The Saudi Dental Journal, vol. 35, no. 5, July 2023, pp. 487–97. EBSCOhost, https://doi.org/10.1016/j.sdentj.2023.05.014.

APA

Londono, J., Ghasemi, S., Hussain Shah, A., Fahimipour, A., Ghadimi, N., Hashemi, S., Khurshid, Z., & Dashti, M. (2023). Evaluation of deep learning and convolutional neural network algorithms accuracy for detecting and predicting anatomical landmarks on 2D lateral cephalometric images: A systematic review and meta -analysis. The Saudi Dental Journal, 35(5), 487–497. https://doi.org/10.1016/j.sdentj.2023.05.014

Chicago

Londono, Jimmy, Shohreh Ghasemi, Altaf Hussain Shah, Amir Fahimipour, Niloofar Ghadimi, Sara Hashemi, Zohaib Khurshid, and Mahmood Dashti. 2023. “Evaluation of Deep Learning and Convolutional Neural Network Algorithms Accuracy for Detecting and Predicting Anatomical Landmarks on 2D Lateral Cephalometric Images: A Systematic Review and Meta -Analysis.” The Saudi Dental Journal 35 (5): 487–97. doi:10.1016/j.sdentj.2023.05.014.