Advances in application of federated machine learning for oncology and cancer diagnosis (2025)
Nasajpour, Mohammad 
; Pouriyeh, Seyedamin ; Parizi, Reza M ; Han, Meng ; Mosaiyebzadeh, Fatemeh ; Xie, Yixin ; Liu, Liyuan ; Batista, Daniel Macêdo
Fonte: Information. Unidade: IME
Assuntos: APRENDIZADO COMPUTACIONAL, DIAGNÓSTICO, ONCOLOGIA
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NASAJPOUR, Mohammad et al. Advances in application of federated machine learning for oncology and cancer diagnosis. Information, v. 16, n. artigo 487, p. 1-31, 2025Tradução . . Disponível em: https://doi.org/10.3390/info16060487. Acesso em: 08 out. 2025.APA
Nasajpour, M., Pouriyeh, S., Parizi, R. M., Han, M., Mosaiyebzadeh, F., Xie, Y., et al. (2025). Advances in application of federated machine learning for oncology and cancer diagnosis. Information, 16( artigo 487), 1-31. doi:10.3390/info16060487NLM
Nasajpour M, Pouriyeh S, Parizi RM, Han M, Mosaiyebzadeh F, Xie Y, Liu L, Batista DM. Advances in application of federated machine learning for oncology and cancer diagnosis [Internet]. Information. 2025 ; 16( artigo 487): 1-31.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/info16060487Vancouver
Nasajpour M, Pouriyeh S, Parizi RM, Han M, Mosaiyebzadeh F, Xie Y, Liu L, Batista DM. Advances in application of federated machine learning for oncology and cancer diagnosis [Internet]. Information. 2025 ; 16( artigo 487): 1-31.[citado 2025 out. 08 ] Available from: https://doi.org/10.3390/info16060487
