PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles (2014)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidades: ICMC; FMRP
- DOI: 10.1016/j.compbiomed.2013.11.015
- Subjects: BANCO DE DADOS; COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS
- Language: Inglês
- Imprenta:
- Source:
- Título: Computers in Biology and Medicine
- ISSN: 0010-4825
- Volume/Número/Paginação/Ano: v. 45, p. 8-19, 2014
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
BUGATTI, Pedro H et al. PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles. Computers in Biology and Medicine, v. 45, p. 8-19, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.compbiomed.2013.11.015. Acesso em: 29 dez. 2025. -
APA
Bugatti, P. H., Kaster, D. S., Ponciano-Silva, M., Traina Junior, C., Marques, P. M. de A., & Traina, A. J. M. (2014). PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles. Computers in Biology and Medicine, 45, 8-19. doi:10.1016/j.compbiomed.2013.11.015 -
NLM
Bugatti PH, Kaster DS, Ponciano-Silva M, Traina Junior C, Marques PM de A, Traina AJM. PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles [Internet]. Computers in Biology and Medicine. 2014 ; 45 8-19.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.compbiomed.2013.11.015 -
Vancouver
Bugatti PH, Kaster DS, Ponciano-Silva M, Traina Junior C, Marques PM de A, Traina AJM. PRoSPER: perceptual similarity queries in medical CBIR systems through user profiles [Internet]. Computers in Biology and Medicine. 2014 ; 45 8-19.[citado 2025 dez. 29 ] Available from: https://doi.org/10.1016/j.compbiomed.2013.11.015 - SuGAR: a framework to support mammogram diagnosis
- Supporting content-based image retrieval and computer-aided diagnosis systems with association rule-based techniques
- Proceedings of the IEEE 28th International Symposium on Computer-Based Medical Systems
- Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge
- A label-scaled similarity measure for content-based image retrieval
- Head: the human encephalon automatic delimiter
- Content-based retrieval of medical images: from context to perception
- Reducing the semantic gap in content-based image retrieval in mammography with relevance feedback and inclusion of expert knowledge
- The metric histogram: a new and efficient approach for content-based image retrieval
- Recuperação de imagem baseada em conteúdo: uso de atributos de textura para caracterização de microcalcificações mamográficas
Informações sobre o DOI: 10.1016/j.compbiomed.2013.11.015 (Fonte: oaDOI API)
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