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Filtros : "IEEE Transactions on Image Processing" "Financiado pela FAPESP" Removido: "Castelo, Antonio" Limpar

Filtros

Artigo de periodico
Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation (2020)
Linares, Oscar Alonso Cuadros ; Hamann, Bernd ; Batista Neto, João do Espírito Santo
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, MICROSCOPIA CONFOCAL, RETINA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
LINARES, Oscar Alonso Cuadros e HAMANN, Bernd e BATISTA NETO, João do Espírito Santo. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation. IEEE Transactions on Image Processing, v. 29, p. 809-818, 2020Tradução . . Disponível em: https://doi.org/10.1109/TIP.2019.2936743. Acesso em: 13 dez. 2025.
APA
Linares, O. A. C., Hamann, B., & Batista Neto, J. do E. S. (2020). Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation. IEEE Transactions on Image Processing, 29, 809-818. doi:10.1109/TIP.2019.2936743
NLM
Linares OAC, Hamann B, Batista Neto J do ES. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation [Internet]. IEEE Transactions on Image Processing. 2020 ; 29 809-818.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Vancouver
Linares OAC, Hamann B, Batista Neto J do ES. Segmenting cellular retinal images by optimizing super-pixels, multi-level modularity, and cell boundary representation [Internet]. IEEE Transactions on Image Processing. 2020 ; 29 809-818.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2019.2936743
Artigo de periodico
An iterative spanning forest framework for superpixel segmentation (2019)
Muñoz, John Edgar Vargas ; Chowdhury, Ananda Shankar ; Alexandre, Eduardo Barreto; Galvao, Felipe L; Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: VISÃO COMPUTACIONAL, PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MUÑOZ, John Edgar Vargas et al. An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, v. 28, n. 7, p. 3477-3489, 2019Tradução . . Disponível em: https://doi.org/10.1109/tip.2019.2897941. Acesso em: 13 dez. 2025.
APA
Muñoz, J. E. V., Chowdhury, A. S., Alexandre, E. B., Galvao, F. L., Miranda, P. A. V. de, & Falcão, A. X. (2019). An iterative spanning forest framework for superpixel segmentation. IEEE Transactions on Image Processing, 28( 7), 3477-3489. doi:10.1109/tip.2019.2897941
NLM
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/tip.2019.2897941
Vancouver
Muñoz JEV, Chowdhury AS, Alexandre EB, Galvao FL, Miranda PAV de, Falcão AX. An iterative spanning forest framework for superpixel segmentation [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 7): 3477-3489.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/tip.2019.2897941

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