Source: International Journal of Computer Assisted Radiology and Surgery. Conference titles: Computer Assisted Radiology and Surgery (CARS) - International Congress and Exhibition. Unidades: FMRP, BIOENGENHARIA
Subjects: APRENDIZADO COMPUTACIONAL, NEOPLASIAS PULMONARES, RESSONÂNCIA MAGNÉTICA, DIAGNÓSTICO POR COMPUTADOR
ABNT
FRANCISCO, Victor et al. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo. . Acesso em: 24 ago. 2024. , 2019APA
Francisco, V., Wada, D. T., Ferreira Junior, J. R., Fabro, A. T., Cipriano, F. E. G., Ferreira, L. P., et al. (2019). Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. Heidelberg: Faculdade de Medicina de Ribeirão Preto, Universidade de São Paulo.NLM
Francisco V, Wada DT, Ferreira Junior JR, Fabro AT, Cipriano FEG, Ferreira LP, Quatrina SG, Santos MK, Azevedo-Marques PM de. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S79-S80.[citado 2024 ago. 24 ]Vancouver
Francisco V, Wada DT, Ferreira Junior JR, Fabro AT, Cipriano FEG, Ferreira LP, Quatrina SG, Santos MK, Azevedo-Marques PM de. Machine learning based lung cancer diagnosis using post-contrast T1-weighted and T2-weighted magnetic resonance imaging. International Journal of Computer Assisted Radiology and Surgery. 2019 ; 14 S79-S80.[citado 2024 ago. 24 ]