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
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 12 fev. 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 fev. 12 ] 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 fev. 12 ] Available from: https://doi.org/10.3390/info16060487 - Privacy-preserving federated learning-based intrusion detection system for IoHT devices
- Federated learning in smart healthcare: a survey of applications, challenges, and future directions
- Exploring the role of ChatGPT in education: applications and challenges
- Intrusion detection system for IoHT devices using federated learning
- Energy-efficient virtual network function placement based on metaheuristic approaches
- Privacy-enhancing technologies in federated learning for the internet of healthcare things: a survey
- A network intrusion detection system using deep learning against MQTT attacks in IoT
- Energy-efficient virtual machines placement
- Live migration in green virtualized networks
- Scheduling cloud applications under uncertain available bandwidth
Informações sobre o DOI: 10.3390/info16060487 (Fonte: oaDOI API)
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
 |
3257412_-_Advances_in_App... | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
