Mei, Paulo Afonso; Carneiro, Cleyton de Carvalho 
; Kuroda, Michelle Chaves; Fraser, Stephen James; Min, Li Li; Reis, Fabiano
Fonte: Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nome do evento: International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM). Unidade: EP
Assuntos: IMAGEM POR RESSONÂNCIA MAGNÉTICA, MAPAS, ESCLEROSE MÚLTIPLA
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MEI, Paulo Afonso et al. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis. 2017, Anais.. Nancy: IEEE, 2017. Disponível em: https://doi.org/10.1109/WSOM.2017.8020005. Acesso em: 17 out. 2024.APA
Mei, P. A., Carneiro, C. de C., Kuroda, M. C., Fraser, S. J., Min, L. L., & Reis, F. (2017). Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis. In Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. Nancy: IEEE. doi:10.1109/WSOM.2017.8020005NLM
Mei PA, Carneiro C de C, Kuroda MC, Fraser SJ, Min LL, Reis F. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1109/WSOM.2017.8020005Vancouver
Mei PA, Carneiro C de C, Kuroda MC, Fraser SJ, Min LL, Reis F. Self-organizing maps as a tool for segmentation of magnetic resonance imaging (MRI) of relapsing-remitting multiple sclerosis [Internet]. Proceedings of the 12th International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization WSOM+ 2017. 2017 ;[citado 2024 out. 17 ] Available from: https://doi.org/10.1109/WSOM.2017.8020005
