Source: Proceedings of the SPIE. Conference titles: International Workshop on Breast Imaging - IWBI. Unidades: EESC, FMRP
Subjects: MAMOGRAFIA, APRENDIZAGEM PROFUNDA, REDES NEURAIS
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COSTA, Arthur C. et al. Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography. Proceedings of the SPIE. Washington, DC: Escola de Engenharia de São Carlos, Universidade de São Paulo. Disponível em: http://dx.doi.org/10.1117/12.2564348. Acesso em: 27 set. 2024. , 2020APA
Costa, A. C., Oliveira, H. C. R., Borges, L. R., & Vieira, M. A. da C. (2020). Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography. Proceedings of the SPIE. Washington, DC: Escola de Engenharia de São Carlos, Universidade de São Paulo. doi:10.1117/12.2564348NLM
Costa AC, Oliveira HCR, Borges LR, Vieira MA da C. Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography [Internet]. Proceedings of the SPIE. 2020 ; 11513[citado 2024 set. 27 ] Available from: http://dx.doi.org/10.1117/12.2564348Vancouver
Costa AC, Oliveira HCR, Borges LR, Vieira MA da C. Transfer learning in deep convolutional neural networks for detection of architectural distortion in digital mammography [Internet]. Proceedings of the SPIE. 2020 ; 11513[citado 2024 set. 27 ] Available from: http://dx.doi.org/10.1117/12.2564348