Automated morphometric analysis of the cat retinal 'alfa/Y, beta/X and delta' ganglion cells using wavelet statistical moment and clustering algorithms (2004)
- Authors:
- Autor USP: CESAR JUNIOR, ROBERTO MARCONDES - IME
- Unidade: IME
- DOI: 10.1142/s0219635204000634
- Subjects: PROCESSAMENTO DE IMAGENS; ANÁLISE DE ONDALETAS; NEUROCIÊNCIAS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Journal of Integrative Neuroscience
- ISSN: 0219-6352
- Volume/Número/Paginação/Ano: v. 3, n. 4, p. 415-432, 2004
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
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: 07 fev. 2026. -
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 2026 fev. 07 ] 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 2026 fev. 07 ] Available from: https://doi.org/10.1142/s0219635204000634 - PCA-based 3D face photography
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Informações sobre o DOI: 10.1142/s0219635204000634 (Fonte: oaDOI API)
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