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Artigo de periodico
Meta-learners for few-shot weakly-supervised medical image segmentation (2024)
Oliveira, Hugo Neves de ; Gama, Pedro Henrique Targino ; Bloch, Isabelle ; César Júnior, Roberto Marcondes
Source: Pattern Recognition. Unidade: IME
Subjects: RECONHECIMENTO DE IMAGEM, PROCESSAMENTO DE IMAGENS, IMAGEM POR RESSONÂNCIA MAGNÉTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
OLIVEIRA, Hugo Neves de et al. Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, v. 153, n. artigo 110471, p. 1-13, 2024Tradução . . Disponível em: https://doi.org/10.1016/j.patcog.2024.110471. Acesso em: 30 set. 2024.
APA
Oliveira, H. N. de, Gama, P. H. T., Bloch, I., & César Júnior, R. M. (2024). Meta-learners for few-shot weakly-supervised medical image segmentation. Pattern Recognition, 153( artigo 110471), 1-13. doi:10.1016/j.patcog.2024.110471
NLM
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
Vancouver
Oliveira HN de, Gama PHT, Bloch I, César Júnior RM. Meta-learners for few-shot weakly-supervised medical image segmentation [Internet]. Pattern Recognition. 2024 ; 153( artigo 110471): 1-13.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.patcog.2024.110471
Artigo de periodico
An overview on meta-learning approaches for few-shot weakly-supervised segmentation (2023)
Gama, Pedro Henrique Targino ; Oliveira, Hugo Neves de ; Santos, Jefersson A. dos ; César Júnior, Roberto Marcondes
Source: Computers & Graphics. Unidade: IME
Subjects: APRENDIZADO COMPUTACIONAL, REDES NEURAIS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GAMA, Pedro Henrique Targino et al. An overview on meta-learning approaches for few-shot weakly-supervised segmentation. Computers & Graphics, v. 113, p. 77-88, 2023Tradução . . Disponível em: https://doi.org/10.1016/j.cag.2023.05.009. Acesso em: 30 set. 2024.
APA
Gama, P. H. T., Oliveira, H. N. de, Santos, J. A. dos, & César Júnior, R. M. (2023). An overview on meta-learning approaches for few-shot weakly-supervised segmentation. Computers & Graphics, 113, 77-88. doi:10.1016/j.cag.2023.05.009
NLM
Gama PHT, Oliveira HN de, Santos JA dos, César Júnior RM. An overview on meta-learning approaches for few-shot weakly-supervised segmentation [Internet]. Computers & Graphics. 2023 ; 113 77-88.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.cag.2023.05.009
Vancouver
Gama PHT, Oliveira HN de, Santos JA dos, César Júnior RM. An overview on meta-learning approaches for few-shot weakly-supervised segmentation [Internet]. Computers & Graphics. 2023 ; 113 77-88.[citado 2024 set. 30 ] Available from: https://doi.org/10.1016/j.cag.2023.05.009
Artigo de periodico
AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells (2023)
Badain, Rafael ; Damineli, Daniel S. C. ; Portes, Maria Teresa ; Feijó, José ; Buratti, Stefano ; Tortora, Giorgia ; Oliveira, Hugo Neves de ; César Júnior, Roberto Marcondes
Source: Journal of Visualized Experiments. Unidades: IB, IME, PRÓ-G, FM
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
BADAIN, Rafael et al. AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells. Journal of Visualized Experiments, v. 196, n. artigo e64857, p. 1-15, 2023Tradução . . Disponível em: https://doi.org/10.3791/64857. Acesso em: 30 set. 2024.
APA
Badain, R., Damineli, D. S. C., Portes, M. T., Feijó, J., Buratti, S., Tortora, G., et al. (2023). AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells. Journal of Visualized Experiments, 196( artigo e64857), 1-15. doi:10.3791/64857
NLM
Badain R, Damineli DSC, Portes MT, Feijó J, Buratti S, Tortora G, Oliveira HN de, César Júnior RM. AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells [Internet]. Journal of Visualized Experiments. 2023 ; 196( artigo e64857): 1-15.[citado 2024 set. 30 ] Available from: https://doi.org/10.3791/64857
Vancouver
Badain R, Damineli DSC, Portes MT, Feijó J, Buratti S, Tortora G, Oliveira HN de, César Júnior RM. AMEBaS: automatic midline extraction and background subtraction of ratiometric fluorescence time-lapses of polarized single cells [Internet]. Journal of Visualized Experiments. 2023 ; 196( artigo e64857): 1-15.[citado 2024 set. 30 ] Available from: https://doi.org/10.3791/64857

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