Filtros : "César Júnior, Roberto Marcondes" "Jelinek, Herbert F." Removido: "PROCESSAMENTO DE SINAIS DE VÍDEO" Limpar

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  • Source: Journal of the Optical Society of America A - Optics image Science and Vision. Unidade: IME

    Assunto: VISÃO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      JELINEK, Herbert F. et al. Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy. Journal of the Optical Society of America A - Optics image Science and Vision, v. 24, n. 5, p. 1448-1456, 2007Tradução . . Disponível em: https://doi.org/10.1364/josaa.24.001448. Acesso em: 02 nov. 2024.
    • APA

      Jelinek, H. F., Cree, M. J., Leandro, J. de J. G., Soares, J. V. B., César Júnior, R. M., & Luckie, A. (2007). Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy. Journal of the Optical Society of America A - Optics image Science and Vision, 24( 5), 1448-1456. doi:10.1364/josaa.24.001448
    • NLM

      Jelinek HF, Cree MJ, Leandro J de JG, Soares JVB, César Júnior RM, Luckie A. Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy [Internet]. Journal of the Optical Society of America A - Optics image Science and Vision. 2007 ; 24( 5): 1448-1456.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1364/josaa.24.001448
    • Vancouver

      Jelinek HF, Cree MJ, Leandro J de JG, Soares JVB, César Júnior RM, Luckie A. Automated segmentation of retinal blood vessels and identification of proliferative diabetic retinopathy [Internet]. Journal of the Optical Society of America A - Optics image Science and Vision. 2007 ; 24( 5): 1448-1456.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1364/josaa.24.001448
  • Source: IEEE Transactions on Medical Imaging. Unidade: IME

    Subjects: VISÃO COMPUTACIONAL, RETINA

    Acesso à fonteDOIHow to cite
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    • ABNT

      SOARES, João Vitor Baldini et al. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. IEEE Transactions on Medical Imaging, v. 25, n. 9, p. 1214-1222, 2006Tradução . . Disponível em: https://doi.org/10.1109/tmi.2006.879967. Acesso em: 02 nov. 2024.
    • APA

      Soares, J. V. B., Leandro, J. de J. G., César Júnior, R. M., Jelinek, H. F., & Cree, M. J. (2006). Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification. IEEE Transactions on Medical Imaging, 25( 9), 1214-1222. doi:10.1109/tmi.2006.879967
    • NLM

      Soares JVB, Leandro J de JG, César Júnior RM, Jelinek HF, Cree MJ. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification [Internet]. IEEE Transactions on Medical Imaging. 2006 ; 25( 9): 1214-1222.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/tmi.2006.879967
    • Vancouver

      Soares JVB, Leandro J de JG, César Júnior RM, Jelinek HF, Cree MJ. Retinal vessel segmentation using the 2-D Gabor wavelet and supervised classification [Internet]. IEEE Transactions on Medical Imaging. 2006 ; 25( 9): 1214-1222.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1109/tmi.2006.879967
  • Source: Journal of Integrative Neuroscience. Unidade: IME

    Subjects: PROCESSAMENTO DE IMAGENS, ANÁLISE DE ONDALETAS, NEUROCIÊNCIAS

    Acesso à fonteDOIHow to cite
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    • ABNT

      JELINEK, Herbert F. et al. Automated morphometric analysis of the cat retinal 'alfa/Y, beta/X and delta' ganglion cells using wavelet statistical moment and clustering algorithms. Journal of Integrative Neuroscience, v. 3, n. 4, p. 415-432, 2004Tradução . . Disponível em: https://doi.org/10.1142/s0219635204000634. Acesso em: 02 nov. 2024.
    • APA

      Jelinek, H. F., César Júnior, R. M., Leandro, J. de J. G., & Spence, I. (2004). Automated morphometric analysis of the cat retinal 'alfa/Y, beta/X and delta' ganglion cells using wavelet statistical moment and clustering algorithms. Journal of Integrative Neuroscience, 3( 4), 415-432. doi:10.1142/s0219635204000634
    • NLM

      Jelinek HF, César Júnior RM, Leandro J de JG, Spence I. Automated morphometric analysis of the cat retinal 'alfa/Y, beta/X and delta' ganglion cells using wavelet statistical moment and clustering algorithms [Internet]. Journal of Integrative Neuroscience. 2004 ; 3( 4): 415-432.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1142/s0219635204000634
    • Vancouver

      Jelinek HF, César Júnior RM, Leandro J de JG, Spence I. Automated morphometric analysis of the cat retinal 'alfa/Y, beta/X and delta' ganglion cells using wavelet statistical moment and clustering algorithms [Internet]. Journal of Integrative Neuroscience. 2004 ; 3( 4): 415-432.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1142/s0219635204000634
  • Source: Brain and Mind. Unidade: IME

    Subjects: NEUROCIÊNCIAS, PROCESSAMENTO DE IMAGENS

    Acesso à fonteDOIHow to cite
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    • ABNT

      JELINEK, Herbert F. e CÉSAR JÚNIOR, Roberto Marcondes e LEANDRO, Jorge de Jesus Gomes. Exploring wavelet transforms for morphological differentiation between functionally different cat retinal ganglion cells. Brain and Mind, v. 4, p. 67-90, 2003Tradução . . Disponível em: https://doi.org/10.1023/A:1024112215968. Acesso em: 02 nov. 2024.
    • APA

      Jelinek, H. F., César Júnior, R. M., & Leandro, J. de J. G. (2003). Exploring wavelet transforms for morphological differentiation between functionally different cat retinal ganglion cells. Brain and Mind, 4, 67-90. doi:10.1023/A:1024112215968
    • NLM

      Jelinek HF, César Júnior RM, Leandro J de JG. Exploring wavelet transforms for morphological differentiation between functionally different cat retinal ganglion cells [Internet]. Brain and Mind. 2003 ; 4 67-90.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1023/A:1024112215968
    • Vancouver

      Jelinek HF, César Júnior RM, Leandro J de JG. Exploring wavelet transforms for morphological differentiation between functionally different cat retinal ganglion cells [Internet]. Brain and Mind. 2003 ; 4 67-90.[citado 2024 nov. 02 ] Available from: https://doi.org/10.1023/A:1024112215968

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