Source: Medicines. Unidade: ICMC
Subjects: INTELIGÊNCIA ARTIFICIAL, PRIVACIDADE, RADIOLOGIA, TECNOLOGIAS DA SAÚDE, APRENDIZAGEM PROFUNDA
ABNT
SERRANO, Andre Luiz Marques et al. FedIHRAS: a privacy-preserving federated learning framework for multi-institutional collaborative radiological analysis with integrated explainability and automated clinical reporting. Medicines, v. 14, n. 3, p. 1-25, 2026Tradução . . Disponível em: https://doi.org/10.3390/biomedicines14030713. Acesso em: 17 abr. 2026.APA
Serrano, A. L. M., Rodrigues, G. A. P., Bispo, G. D., Gonçalves, V. P., Rocha Filho, G. P., Peixoto, M. G. M., et al. (2026). FedIHRAS: a privacy-preserving federated learning framework for multi-institutional collaborative radiological analysis with integrated explainability and automated clinical reporting. Medicines, 14( 3), 1-25. doi:10.3390/biomedicines14030713NLM
Serrano ALM, Rodrigues GAP, Bispo GD, Gonçalves VP, Rocha Filho GP, Peixoto MGM, Bonacin R, Meneguette RI. FedIHRAS: a privacy-preserving federated learning framework for multi-institutional collaborative radiological analysis with integrated explainability and automated clinical reporting [Internet]. Medicines. 2026 ; 14( 3): 1-25.[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/biomedicines14030713Vancouver
Serrano ALM, Rodrigues GAP, Bispo GD, Gonçalves VP, Rocha Filho GP, Peixoto MGM, Bonacin R, Meneguette RI. FedIHRAS: a privacy-preserving federated learning framework for multi-institutional collaborative radiological analysis with integrated explainability and automated clinical reporting [Internet]. Medicines. 2026 ; 14( 3): 1-25.[citado 2026 abr. 17 ] Available from: https://doi.org/10.3390/biomedicines14030713
