Source: International Journal of Computer Assisted Radiology and Surgery. Conference titles: Congress of Computer Assisted Radiology and Surgery (CARS). Unidade: FMRP
Assunto: RECONHECIMENTO DE PADRÕES
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CASTI, P. et al. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s11548-017-1588-3. Acesso em: 10 out. 2024. , 2017APA
Casti, P., Mencattini, A., Nogueira-Barbosa, M. H., Frighetto-Pereira, L., Azevedo-Marques, P. M. de, Martinelli, E., & Di Natale, C. (2017). Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. doi:10.1007/s11548-017-1588-3NLM
Casti P, Mencattini A, Nogueira-Barbosa MH, Frighetto-Pereira L, Azevedo-Marques PM de, Martinelli E, Di Natale C. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S153.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s11548-017-1588-3Vancouver
Casti P, Mencattini A, Nogueira-Barbosa MH, Frighetto-Pereira L, Azevedo-Marques PM de, Martinelli E, Di Natale C. Multi-segmentation and cooperative classification models improve the identification of malignant vertebral compression fractures in MRI [Internet]. International Journal of Computer Assisted Radiology and Surgery. 2017 ; 12 S153.[citado 2024 out. 10 ] Available from: https://doi.org/10.1007/s11548-017-1588-3