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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
Vessel optimal transport for automated alignment of retinal fundus images (2019)
Motta, Danilo Andrade ; Casaca, Wallace Correa de Oliveira ; Paiva, Afonso
Source: IEEE Transactions on Image Processing. Unidade: ICMC
Subjects: PROCESSAMENTO DE IMAGENS, FUNDO DE OLHO, OTIMIZAÇÃO RESTRITA, GRÁFICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MOTTA, Danilo Andrade e CASACA, Wallace Correa de Oliveira e PAIVA, Afonso. Vessel optimal transport for automated alignment of retinal fundus images. IEEE Transactions on Image Processing, v. 28, n. 12, p. 6154-6168, 2019Tradução . . Disponível em: https://doi.org/10.1109/TIP.2019.2925287. Acesso em: 13 dez. 2025.
APA
Motta, D. A., Casaca, W. C. de O., & Paiva, A. (2019). Vessel optimal transport for automated alignment of retinal fundus images. IEEE Transactions on Image Processing, 28( 12), 6154-6168. doi:10.1109/TIP.2019.2925287
NLM
Motta DA, Casaca WC de O, Paiva A. Vessel optimal transport for automated alignment of retinal fundus images [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 12): 6154-6168.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2019.2925287
Vancouver
Motta DA, Casaca WC de O, Paiva A. Vessel optimal transport for automated alignment of retinal fundus images [Internet]. IEEE Transactions on Image Processing. 2019 ; 28( 12): 6154-6168.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2019.2925287
Artigo de periodico
Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking (2012)
Miranda, Paulo André Vechiatto de ; Falcão, Alexandre Xavier; Spina, Thiago V
Source: IEEE Transactions on Image Processing. Unidade: IME
Assunto: PROCESSAMENTO DE IMAGENS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MIRANDA, Paulo André Vechiatto de e FALCÃO, Alexandre Xavier e SPINA, Thiago V. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, v. 21, n. 6, p. 3042\20133052, 2012Tradução . . Disponível em: https://doi.org/10.1109/TIP.2012.2188034. Acesso em: 13 dez. 2025.
APA
Miranda, P. A. V. de, Falcão, A. X., & Spina, T. V. (2012). Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking. IEEE Transactions on Image Processing, 21( 6), 3042\20133052. doi:10.1109/TIP.2012.2188034
NLM
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2012.2188034
Vancouver
Miranda PAV de, Falcão AX, Spina TV. Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking [Internet]. IEEE Transactions on Image Processing. 2012 ; 21( 6): 3042\20133052.[citado 2025 dez. 13 ] Available from: https://doi.org/10.1109/TIP.2012.2188034

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