Swaity, Abdullah; Elgarba, Bahaaeldeen M; Morgan, Nermin; Ali, Saleem; Shujaat, Sohaib; Borsci, Elena; Jacobs, Reinhilde; Chilvarquer, Israel 
Source: Scientific Reports. Unidade: FO
Subjects: ODONTOLOGIA, TOMOGRAFIA COMPUTADORIZADA DE EMISSÃO, RADIOGRAFIA DENTÁRIA DIGITAL, ORTODONTIA
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SWAITY, Abdullah et al. Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images. Scientific Reports, v. 14, 2024Tradução . . Acesso em: 15 nov. 2024.APA
Swaity, A., Elgarba, B. M., Morgan, N., Ali, S., Shujaat, S., Borsci, E., et al. (2024). Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images. Scientific Reports, 14. doi:10.1038/s41598-023-49613-0NLM
Swaity A, Elgarba BM, Morgan N, Ali S, Shujaat S, Borsci E, Jacobs R, Chilvarquer I. Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images. Scientific Reports. 2024 ; 14[citado 2024 nov. 15 ]Vancouver
Swaity A, Elgarba BM, Morgan N, Ali S, Shujaat S, Borsci E, Jacobs R, Chilvarquer I. Deep learning driven segmentation of maxillary impacted canine on cone beam computed tomography images. Scientific Reports. 2024 ; 14[citado 2024 nov. 15 ]
