Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning (2022)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; BARBOSA, MARCELLO HENRIQUE NOGUEIRA - FMRP ; TRAINA, AGMA JUCI MACHADO - ICMC ; RAMOS, JONATHAN DA SILVA - ICMC ; AGUIAR, ERIKSON JÚLIO DE - ICMC ; BELIZARIO, IVAR VARGAS - ICMC ; COSTA, MÁRCUS VINÍCIUS LOBO - ICMC ; MACIEL, JAMILLY GOMES - FMRP ; CAZZOLATO, MIRELA TEIXEIRA - ICMC
- Unidades: ICMC; FMRP
- DOI: 10.1109/CBMS55023.2022.00021
- Subjects: APRENDIZADO COMPUTACIONAL; TECNOLOGIAS DA SAÚDE; RESSONÂNCIA MAGNÉTICA; DIAGNÓSTICO POR IMAGEM; OSTEOGÊNESE IMPERFEITA; COLUNA VERTEBRAL
- Keywords: Magnetic resonance imaging; deep learning; vertebral fragility fractures; texture analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos
- Date published: 2022
- Source:
- Título do periódico: Proceedings
- ISSN: 2372-9198
- Conference titles: International Symposium on Computer-Based Medical Systems - CBMS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
RAMOS, Jonathan da Silva et al. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning. 2022, Anais.. Los Alamitos: IEEE, 2022. Disponível em: https://doi.org/10.1109/CBMS55023.2022.00021. Acesso em: 28 abr. 2024. -
APA
Ramos, J. da S., Aguiar, E. J. de, Belizario, I. V., Costa, M. V. L., Maciel, J. G., Cazzolato, M. T., et al. (2022). Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning. In Proceedings. Los Alamitos: IEEE. doi:10.1109/CBMS55023.2022.00021 -
NLM
Ramos J da S, Aguiar EJ de, Belizario IV, Costa MVL, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning [Internet]. Proceedings. 2022 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00021 -
Vancouver
Ramos J da S, Aguiar EJ de, Belizario IV, Costa MVL, Maciel JG, Cazzolato MT, Traina Junior C, Nogueira-Barbosa MH, Traina AJM. Analysis of vertebrae without fracture on spine MRI to assess bone fragility: a comparison of traditional machine learning and deep learning [Internet]. Proceedings. 2022 ;[citado 2024 abr. 28 ] Available from: https://doi.org/10.1109/CBMS55023.2022.00021 - BEAUT: a radiomic approach to identify potential lumbar fractures in magnetic resonance imaging
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Informações sobre o DOI: 10.1109/CBMS55023.2022.00021 (Fonte: oaDOI API)
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