Advances in application of federated machine learning for oncology and cancer diagnosis (2025)
- Authors:
- USP affiliated authors: BATISTA, DANIEL MACEDO - IME ; MOSAIYEBZADEH, FATEMEH - IME
- Unidade: IME
- DOI: 10.3390/info16060487
- Subjects: APRENDIZADO COMPUTACIONAL; DIAGNÓSTICO; ONCOLOGIA
- Keywords: federated learning; health systems; cancer; clinical oncology; image analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Information
- ISSN: 2078-2489
- Volume/Número/Paginação/Ano: v. 16, artigo n. 487, p. 1-31, 2025
- Status:
- Artigo publicado em periódico de acesso aberto (Gold Open Access)
- Versão do Documento:
- Versão publicada (Published version)
- Acessar versão aberta:
-
ABNT
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: 31 mar. 2026. -
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/info16060487 -
NLM
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 2026 mar. 31 ] Available from: https://doi.org/10.3390/info16060487 -
Vancouver
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 2026 mar. 31 ] Available from: https://doi.org/10.3390/info16060487 - Privacy-preserving federated learning-based intrusion detection system for IoHT devices
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