BGrowth: an efficient approach for the segmentation of vertebral compression fractures in magnetic resonance imaging (2019)
- Autores:
- Autores USP: BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidades: FMRP; ICMC
- DOI: 10.1145/3297280.3299728
- Assuntos: PROCESSAMENTO DE IMAGENS; RECONHECIMENTO DE IMAGEM; TECNOLOGIAS DA SAÚDE; COMPREENSÃO VERBAL; RESSONÂNCIA MAGNÉTICA
- Palavras-chave do autor: vertebral compression fractures; image segmentation; magnetic resonance imaging
- Agências de fomento:
- Idioma: Inglês
- Imprenta:
- Fonte:
- Título do periódico: Proceedings
- Nome do evento: Symposium on Applied Computing - SAC
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
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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: 19 set. 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:10.1145/3297280.3299728 -
NLM
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 set. 19 ] Available from: https://doi.org/10.1145/3297280.3299728 -
Vancouver
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 set. 19 ] Available from: https://doi.org/10.1145/3297280.3299728 - Vertebral body segmentation of spine MR images using superpixels
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Informações sobre o DOI: 10.1145/3297280.3299728 (Fonte: oaDOI API)
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