Fundus image transformation revisited: towards determining more accurate registrations (2018)
- Authors:
- Autor USP: PAIVA NETO, AFONSO - ICMC
- Unidade: ICMC
- DOI: 10.1109/CBMS.2018.00047
- Subjects: PROCESSAMENTO DE IMAGENS; VISÃO COMPUTACIONAL; GEOMETRIA E MODELAGEM COMPUTACIONAL; FUNDO DE OLHO
- Keywords: registration; transformation; accuracy
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Los Alamitos, CA
- Date published: 2018
- Source:
- Título: Proceedings
- ISSN: 2372-9198
- Conference titles: International Symposium on Computer-Based Medical Systems - CBMS
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MOTTA, Danilo e CASACA, Wallace e PAIVA, Afonso. Fundus image transformation revisited: towards determining more accurate registrations. 2018, Anais.. Los Alamitos, CA: IEEE, 2018. Disponível em: https://doi.org/10.1109/CBMS.2018.00047. Acesso em: 27 dez. 2025. -
APA
Motta, D., Casaca, W., & Paiva, A. (2018). Fundus image transformation revisited: towards determining more accurate registrations. In Proceedings. Los Alamitos, CA: IEEE. doi:10.1109/CBMS.2018.00047 -
NLM
Motta D, Casaca W, Paiva A. Fundus image transformation revisited: towards determining more accurate registrations [Internet]. Proceedings. 2018 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/CBMS.2018.00047 -
Vancouver
Motta D, Casaca W, Paiva A. Fundus image transformation revisited: towards determining more accurate registrations [Internet]. Proceedings. 2018 ;[citado 2025 dez. 27 ] Available from: https://doi.org/10.1109/CBMS.2018.00047 - A user-friendly interactive framework for unsteady fluid flow segmentation and visualization
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Informações sobre o DOI: 10.1109/CBMS.2018.00047 (Fonte: oaDOI API)
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