Source: Research on Biomedical Engineering. Unidades: FMRP, FFCLRP
Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA, ALGORITMOS, CLUSTERS
ABNT
PERES, André Salles Cunha et al. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves. Research on Biomedical Engineering, v. 33, n. 1, p. 31-41, 2017Tradução . . Disponível em: https://doi.org/10.1590/2446-4740.03215. Acesso em: 14 nov. 2024.APA
Peres, A. S. C., Lemos, T. W. de, Barros, A. K. D., Baffa, O., & Araújo, D. B. de. (2017). Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves. Research on Biomedical Engineering, 33( 1), 31-41. doi:10.1590/2446-4740.03215NLM
Peres ASC, Lemos TW de, Barros AKD, Baffa O, Araújo DB de. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves [Internet]. Research on Biomedical Engineering. 2017 ; 33( 1): 31-41.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1590/2446-4740.03215Vancouver
Peres ASC, Lemos TW de, Barros AKD, Baffa O, Araújo DB de. Performance quantification of clustering algorithms for false positive removal in fMRI by ROC curves [Internet]. Research on Biomedical Engineering. 2017 ; 33( 1): 31-41.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1590/2446-4740.03215