Source: Proceedings of SPIE. Conference titles: Medical Imaging 2018 : image perception, observer performance, and technology assessment. Unidade: EESC
Subjects: REDES NEURAIS, IMAGEM DIGITAL, MAMOGRAFIA, ENGENHARIA ELÉTRICA
ABNT
BRITO, Fabrício A. et al. Application of neural networks to model the signal-dependent noise of a digital breast tomosynthesis unit. Proceedings of SPIE. Bellingham, United States: SPIE. Disponível em: https://doi.org/10.1117/12.2293659. Acesso em: 28 mar. 2024. , 2018APA
Brito, F. A., Borges, L. R., Bakic, P. R., Maidment, A. D. A., & Vieira, M. A. da C. (2018). Application of neural networks to model the signal-dependent noise of a digital breast tomosynthesis unit. Proceedings of SPIE. Bellingham, United States: SPIE. doi:10.1117/12.2293659NLM
Brito FA, Borges LR, Bakic PR, Maidment ADA, Vieira MA da C. Application of neural networks to model the signal-dependent noise of a digital breast tomosynthesis unit [Internet]. Proceedings of SPIE. 2018 ; 10573[citado 2024 mar. 28 ] Available from: https://doi.org/10.1117/12.2293659Vancouver
Brito FA, Borges LR, Bakic PR, Maidment ADA, Vieira MA da C. Application of neural networks to model the signal-dependent noise of a digital breast tomosynthesis unit [Internet]. Proceedings of SPIE. 2018 ; 10573[citado 2024 mar. 28 ] Available from: https://doi.org/10.1117/12.2293659