Riverbed: a novel user-steered image segmentation method based on optimum boundary tracking (2012)
- Authors:
- Autor USP: MIRANDA, PAULO ANDRE VECHIATTO DE - IME
- Unidade: IME
- DOI: 10.1109/TIP.2012.2188034
- Assunto: PROCESSAMENTO DE IMAGENS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Piscataway
- Date published: 2012
- Source:
- Título: IEEE Transactions on Image Processing
- ISSN: 1057-7149
- Volume/Número/Paginação/Ano: v. 21, n. 6, p. 3042\20133052, 2012
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
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: 02 jan. 2026. -
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 2026 jan. 02 ] 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 2026 jan. 02 ] Available from: https://doi.org/10.1109/TIP.2012.2188034 - A case analysis of the impact of prior center of gravity estimation over skull-stripping algorithms in MR images
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Informações sobre o DOI: 10.1109/TIP.2012.2188034 (Fonte: oaDOI API)
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