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Filtros : "IEEE Transactions on Image Processing" "Indexado no Web of Science" Removido: "PAIVA NETO, AFONSO" Limpar

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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
Oriented image foresting transform segmentation by seed competition (2014)
Miranda, Paulo André Vechiatto de ; Mansilla, Lucy Alsina Choque
Source: IEEE Transactions on Image Processing. Unidade: IME
Subjects: ALGORITMOS GRÁFICOS, COMPUTAÇÃO GRÁFICA, COMPUTAÇÃO APLICADA, FUZZY (INTELIGÊNCIA ARTIFICIAL)
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e MANSILLA, Lucy Alsina Choque. Oriented image foresting transform segmentation by seed competition. IEEE Transactions on Image Processing, v. 23, n. 1, p. 389-398, 2014Tradução . . Disponível em: https://doi.org/10.1109/TIP.2013.2288867. Acesso em: 13 dez. 2025.
APA
Miranda, P. A. V. de, & Mansilla, L. A. C. (2014). Oriented image foresting transform segmentation by seed competition. IEEE Transactions on Image Processing, 23( 1), 389-398. doi:10.1109/TIP.2013.2288867
NLM
Miranda PAV de, Mansilla LAC. Oriented image foresting transform segmentation by seed competition [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 1): 389-398.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2013.2288867
Vancouver
Miranda PAV de, Mansilla LAC. Oriented image foresting transform segmentation by seed competition [Internet]. IEEE Transactions on Image Processing. 2014 ; 23( 1): 389-398.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2013.2288867

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