Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses (2008)
- Authors:
- USP affiliated authors: FELIPE, JOAQUIM CEZAR - FFCLRP ; TRAINA, AGMA JUCI MACHADO - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; MARQUES, PAULO MAZZONCINI DE AZEVEDO - FMRP
- Unidades: FFCLRP; ICMC; FMRP
- Subjects: MAMOGRAFIA; NEOPLASIAS MAMÁRIAS
- Language: Inglês
- Imprenta:
- Conference titles: Annual International Conference of the IEEE Engineering in Medicine and Biology Society
-
ABNT
ROSA, Natália A. et al. Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses. 2008, Anais.. Vancouver: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo, 2008. . Acesso em: 15 out. 2024. -
APA
Rosa, N. A., Felipe, J. C., Traina, A. J. M., Traina Junior, C., Rangayyan, R. M., & Azevedo-Marques, P. M. de. (2008). Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses. In . Vancouver: Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto, Universidade de São Paulo. -
NLM
Rosa NA, Felipe JC, Traina AJM, Traina Junior C, Rangayyan RM, Azevedo-Marques PM de. Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses. 2008 ;[citado 2024 out. 15 ] -
Vancouver
Rosa NA, Felipe JC, Traina AJM, Traina Junior C, Rangayyan RM, Azevedo-Marques PM de. Using relevance feedback to reduce the semantic gap in content-based image retrieval of mammographic masses. 2008 ;[citado 2024 out. 15 ] - Including the perceptual parameter to tune the retrieval ability of pulmonary CBIR systems
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- A new family of distance functions for perceptual similarity retrieval of medical images
- Perceptual distance functions for similarity retrieval of medical images
- Mining statistical association rules to select the most relevant medical image features
- 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
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