Deep learning for sex determination: analyzing over 200,000 panoramic radiographs (2023)
Fonte: Journal of Forensic Sciences. Unidades: IME, FO
Assuntos: REDES NEURAIS, APRENDIZADO COMPUTACIONAL, APRENDIZAGEM PROFUNDA, RADIOGRAFIA PANORÂMICA, DIAGNÓSTICO POR IMAGEM
ABNT
CICONELLE, Ana Cláudia Martins et al. Deep learning for sex determination: analyzing over 200,000 panoramic radiographs. Journal of Forensic Sciences, v. 68, n. 6, p. 2057-2064, 2023Tradução . . Disponível em: https://doi.org/10.1111/1556-4029.15376. Acesso em: 14 nov. 2024.APA
Ciconelle, A. C. M., Silva, R. L. B. da, Kim, J. H., Rocha, B. A., Santos, D. G. dos, Vianna, L. G. R., et al. (2023). Deep learning for sex determination: analyzing over 200,000 panoramic radiographs. Journal of Forensic Sciences, 68( 6), 2057-2064. doi:10.1111/1556-4029.15376NLM
Ciconelle ACM, Silva RLB da, Kim JH, Rocha BA, Santos DG dos, Vianna LGR, Ferreira LGG, Santos VHP dos, Costa JO, Vicente R. Deep learning for sex determination: analyzing over 200,000 panoramic radiographs [Internet]. Journal of Forensic Sciences. 2023 ; 68( 6): 2057-2064.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1111/1556-4029.15376Vancouver
Ciconelle ACM, Silva RLB da, Kim JH, Rocha BA, Santos DG dos, Vianna LGR, Ferreira LGG, Santos VHP dos, Costa JO, Vicente R. Deep learning for sex determination: analyzing over 200,000 panoramic radiographs [Internet]. Journal of Forensic Sciences. 2023 ; 68( 6): 2057-2064.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1111/1556-4029.15376