Edge detection robust to intensity inhomogeneity: a 7T MRI case study (2017)
- Authors:
- Autor USP: MIRANDA, PAULO ANDRE VECHIATTO DE - IME
- Unidade: IME
- DOI: 10.1007/978-3-319-52277-7_56
- Subjects: IMAGEM POR RESSONÂNCIA MAGNÉTICA; PROCESSAMENTO DE IMAGENS; INTELIGÊNCIA ARTIFICIAL
- Keywords: Biomedical imaging; Edge detection; Inhomogeneity; MRI
- Language: Inglês
- Imprenta:
- Source:
- Conference titles: Iberoamerican Congress on Pattern Recognition - CIARP
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
CAPPABIANCO, Fabio A. M et al. Edge detection robust to intensity inhomogeneity: a 7T MRI case study. 2017, Anais.. Cham: Springer, 2017. Disponível em: https://doi.org/10.1007/978-3-319-52277-7_56. Acesso em: 13 fev. 2026. -
APA
Cappabianco, F. A. M., Lellis, L. S., Miranda, P. A. V. de, Ide, J. S., & Mujica-Parodi, L. R. (2017). Edge detection robust to intensity inhomogeneity: a 7T MRI case study. In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8–11, 2016, Proceedings. Cham: Springer. doi:10.1007/978-3-319-52277-7_56 -
NLM
Cappabianco FAM, Lellis LS, Miranda PAV de, Ide JS, Mujica-Parodi LR. Edge detection robust to intensity inhomogeneity: a 7T MRI case study [Internet]. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8–11, 2016, Proceedings. 2017 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-319-52277-7_56 -
Vancouver
Cappabianco FAM, Lellis LS, Miranda PAV de, Ide JS, Mujica-Parodi LR. Edge detection robust to intensity inhomogeneity: a 7T MRI case study [Internet]. Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications: 21st Iberoamerican Congress, CIARP 2016, Lima, Peru, November 8–11, 2016, Proceedings. 2017 ;[citado 2026 fev. 13 ] Available from: https://doi.org/10.1007/978-3-319-52277-7_56 - Towards interactive image segmentation by dynamic and iterative spanning forest
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Informações sobre o DOI: 10.1007/978-3-319-52277-7_56 (Fonte: oaDOI API)
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