Source: Proceedings. Conference titles: Symposium on Applied Computing - SAC. Unidades: FMRP, ICMC
Subjects: PROCESSAMENTO DE IMAGENS, RECONHECIMENTO DE IMAGEM, TECNOLOGIAS DA SAÚDE, COMPREENSÃO VERBAL, RESSONÂNCIA MAGNÉTICA
ABNT
RAMOS, Jonathan S et al. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. 2019, Anais.. New York: ACM, 2019. Disponível em: https://doi.org/10.1145/3297280.3299728. Acesso em: 06 nov. 2024.APA
Ramos, J. S., Watanabe, C. Y. V., Nogueira-Barbosa, M. H., & Traina, A. J. M. (2019). BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging. In Proceedings. New York: ACM. doi:10.1145/3297280.3299728NLM
Ramos JS, Watanabe CYV, Nogueira-Barbosa MH, Traina AJM. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1145/3297280.3299728Vancouver
Ramos JS, Watanabe CYV, Nogueira-Barbosa MH, Traina AJM. BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging [Internet]. Proceedings. 2019 ;[citado 2024 nov. 06 ] Available from: https://doi.org/10.1145/3297280.3299728