A general and balanced region-based metric for evaluating medical image segmentation algorithms (2019)
- Authors:
- Autor USP: MIRANDA, PAULO ANDRE VECHIATTO DE - IME
- Unidade: IME
- DOI: 10.1109/ICIP.2019.8803083
- Assunto: PROCESSAMENTO DE IMAGENS
- Keywords: Dice coefficient; Jaccard coefficient; image segmentation; image evaluation
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2019
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Image Processing - ICIP
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CAPPABIANCO, Fabio A. M et al. A general and balanced region-based metric for evaluating medical image segmentation algorithms. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/ICIP.2019.8803083. Acesso em: 11 nov. 2024. -
APA
Cappabianco, F. A. M., Ribeiro, P. F. O., Miranda, P. A. V. de, & Udupa, J. K. (2019). A general and balanced region-based metric for evaluating medical image segmentation algorithms. In Proceedings. Piscataway: IEEE. doi:10.1109/ICIP.2019.8803083 -
NLM
Cappabianco FAM, Ribeiro PFO, Miranda PAV de, Udupa JK. A general and balanced region-based metric for evaluating medical image segmentation algorithms [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/ICIP.2019.8803083 -
Vancouver
Cappabianco FAM, Ribeiro PFO, Miranda PAV de, Udupa JK. A general and balanced region-based metric for evaluating medical image segmentation algorithms [Internet]. Proceedings. 2019 ;[citado 2024 nov. 11 ] Available from: https://doi.org/10.1109/ICIP.2019.8803083 - 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/ICIP.2019.8803083 (Fonte: oaDOI API)
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