Computer-assisted segmentation of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model (2010)
- Authors:
- USP affiliated authors: JACKOWSKI, MARCEL PAROLIN - IME ; ZOGHBI, JIHAN MOHAMAD - IME
- Unidade: IME
- DOI: 10.1109/IVCNZ.2010.6148803
- Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA; PROCESSAMENTO DE IMAGENS; DOENÇAS CEREBRAIS
- Keywords: deformable models; brain lesions; multi-sequence brain MRI; image segmentation; Mumford-Shah functional
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2010
- Source:
- Título do periódico: Proceedings
- Conference titles: International Conference of Image and Vision Computing New Zealand - IVCNZ
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ZOGHBI, Jihan Mohamad e MAMEDE, Marcelo H e JACKOWSKI, Marcel Parolin. Computer-assisted segmentation of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model. 2010, Anais.. Piscataway: IEEE, 2010. Disponível em: https://doi.org/10.1109/IVCNZ.2010.6148803. Acesso em: 30 abr. 2024. -
APA
Zoghbi, J. M., Mamede, M. H., & Jackowski, M. P. (2010). Computer-assisted segmentation of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model. In Proceedings. Piscataway: IEEE. doi:10.1109/IVCNZ.2010.6148803 -
NLM
Zoghbi JM, Mamede MH, Jackowski MP. Computer-assisted segmentation of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model [Internet]. Proceedings. 2010 ;[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/IVCNZ.2010.6148803 -
Vancouver
Zoghbi JM, Mamede MH, Jackowski MP. Computer-assisted segmentation of brain tumor lesions from multi-sequence Magnetic Resonance Imaging using the Mumford-Shah model [Internet]. Proceedings. 2010 ;[citado 2024 abr. 30 ] Available from: https://doi.org/10.1109/IVCNZ.2010.6148803 - Classificação de degeneração tecidual em pacientes com sepse usando imagens por Sidestream Dark Field {SDF)
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Informações sobre o DOI: 10.1109/IVCNZ.2010.6148803 (Fonte: oaDOI API)
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