Fonte: Anais. Nome do evento: Simpósio Brasileiro de Bancos de Dados - SBBD. Unidade: ICMC
Assuntos: APRENDIZAGEM PROFUNDA, PROCESSAMENTO DE IMAGENS, DIAGNÓSTICO POR IMAGEM, TECNOLOGIAS DA SAÚDE
ABNT
UCHIDA, Mariana Aya Suzuki et al. Data augmentation for medical image segmentation: a comparative analysis of traditional techniques and synthetic data generation. 2025, Anais.. Porto Alegre: SBC, 2025. Disponível em: https://doi.org/10.5753/sbbd.2025.247731. Acesso em: 16 nov. 2025.APA
Uchida, M. A. S., Aguiar, E. J. de, Traina Junior, C., & Traina, A. J. M. (2025). Data augmentation for medical image segmentation: a comparative analysis of traditional techniques and synthetic data generation. In Anais. Porto Alegre: SBC. doi:10.5753/sbbd.2025.247731NLM
Uchida MAS, Aguiar EJ de, Traina Junior C, Traina AJM. Data augmentation for medical image segmentation: a comparative analysis of traditional techniques and synthetic data generation [Internet]. Anais. 2025 ;[citado 2025 nov. 16 ] Available from: https://doi.org/10.5753/sbbd.2025.247731Vancouver
Uchida MAS, Aguiar EJ de, Traina Junior C, Traina AJM. Data augmentation for medical image segmentation: a comparative analysis of traditional techniques and synthetic data generation [Internet]. Anais. 2025 ;[citado 2025 nov. 16 ] Available from: https://doi.org/10.5753/sbbd.2025.247731
