Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19 (2023)
Bruzadin, Aldimir; Boaventura, Maurílio 
; Colnago, Marilaine ; Negri, Rogério Galante ; Casaca, Wallace Correa de Oliveira
Fonte: Neurocomputing. Unidade: ICMC
Assuntos: APRENDIZADO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS, DIAGNÓSTICO POR IMAGEM, TOMOGRAFIA, COVID-19
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BRUZADIN, Aldimir et al. Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. Neurocomputing, v. 522, p. 24-38, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2022.12.003. Acesso em: 28 nov. 2025.APA
Bruzadin, A., Boaventura, M., Colnago, M., Negri, R. G., & Casaca, W. C. de O. (2023). Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19. Neurocomputing, 522, 24-38. doi:10.1016/j.neucom.2022.12.003NLM
Bruzadin A, Boaventura M, Colnago M, Negri RG, Casaca WC de O. Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19 [Internet]. Neurocomputing. 2023 ; 522 24-38.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.neucom.2022.12.003Vancouver
Bruzadin A, Boaventura M, Colnago M, Negri RG, Casaca WC de O. Learning label diffusion maps for semi-automatic segmentation of lung CT images with COVID-19 [Internet]. Neurocomputing. 2023 ; 522 24-38.[citado 2025 nov. 28 ] Available from: https://doi.org/10.1016/j.neucom.2022.12.003
