S. Kurt-Bayrakdar Et Al. , "Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study," QUINTESSENCE INTERNATIONAL , vol.54, no.8, pp.680-693, 2023
Kurt-Bayrakdar, S. Et Al. 2023. Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study. QUINTESSENCE INTERNATIONAL , vol.54, no.8 , 680-693.
Kurt-Bayrakdar, S., Uğurlu, M., Yavuz, M. B., Sali, N., Bayrakdar, İ. Ş., Çelik, Ö., ... Köse, O.(2023). Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study. QUINTESSENCE INTERNATIONAL , vol.54, no.8, 680-693.
Kurt-Bayrakdar, SEVDA Et Al. "Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study," QUINTESSENCE INTERNATIONAL , vol.54, no.8, 680-693, 2023
Kurt-Bayrakdar, SEVDA K. Et Al. "Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study." QUINTESSENCE INTERNATIONAL , vol.54, no.8, pp.680-693, 2023
Kurt-Bayrakdar, S. Et Al. (2023) . "Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study." QUINTESSENCE INTERNATIONAL , vol.54, no.8, pp.680-693.
@article{article, author={SEVDA KURT BAYRAKDAR Et Al. }, title={Detection of tooth numbering, frenulum attachment, gingival overgrowth, and gingival inflammation signs on dental photographs using convolutional neural network algorithms: a retrospective study}, journal={QUINTESSENCE INTERNATIONAL}, year=2023, pages={680-693} }