Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems (2009)
- Authors:
- USP affiliated authors: TRAINA, AGMA JUCI MACHADO - ICMC ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP ; FELIPE, JOAQUIM CEZAR - FFCLRP ; TRAINA JUNIOR, CAETANO - ICMC
- Unidades: ICMC; FMRP; FFCLRP
- Subjects: COMPUTAÇÃO GRÁFICA; PROCESSAMENTO DE IMAGENS; BANCO DE DADOS
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2009
- Source:
- Título do periódico: Proceedings
- Conference titles: IEEE International Symposium on Computer-Based Medical Systems - CBMS
-
ABNT
SILVA, Marcelo Ponciano et al. Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. 2009, Anais.. Los Alamitos: IEEE Computer Society, 2009. Disponível em: http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=5255243&isYear=2009. Acesso em: 18 abr. 2024. -
APA
Silva, M. P., Traina, A. J. M., Marques, P. M. de A., Felipe, J. C., & Traina Junior, C. (2009). Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems. In Proceedings. Los Alamitos: IEEE Computer Society. Recuperado de http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=5255243&isYear=2009 -
NLM
Silva MP, Traina AJM, Marques PM de A, Felipe JC, Traina Junior C. Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems [Internet]. Proceedings. 2009 ;[citado 2024 abr. 18 ] Available from: http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=5255243&isYear=2009 -
Vancouver
Silva MP, Traina AJM, Marques PM de A, Felipe JC, Traina Junior C. Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems [Internet]. Proceedings. 2009 ;[citado 2024 abr. 18 ] Available from: http://ieeexplore.ieee.org/xpl/tocresult.do?isnumber=5255243&isYear=2009 - Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses
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- A new family of distance functions for perceptual similarity retrieval of medical images
- Mining statistical association rules to select the most relevant medical image features
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