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11
Improving content-based retrieval of medical images through dynamic distance on relevance feedback
Improving content-based retrieval of medical images through dynamic distance on relevance feedback
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Artigo de Congresso 		Adicionar ao Meu Espaço

Improving content-based retrieval of medical images through dynamic distance on relevance feedback

Pedro Henrique Bugatti Agma Juci Machado Traina; Caetano Traina Júnior; International Symposium on Computer-Based Medical Systems - CBMS (24. 2011 Bristol)

Proceedings Piscataway : IEEE, 2011

Piscataway IEEE 2011

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2207144 ) e outros locais(Acessar)

12
Integrating images to patient electronic medical records through content-based retrieval techniques
Integrating images to patient electronic medical records through content-based retrieval techniques
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Integrating images to patient electronic medical records through content-based retrieval techniques

Agma Juci Machado Traina Natalia Abdala Rosa; Caetano Traina Júnior; IEEE Symposium Computer-based Medical Systems (16. 2003 New York)

Proceedings Los Alamitos:IEEE, 2003

Los Alamitos IEEE 2003

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1317633 ) e outros locais(Acessar)

13
Retrieval by content of medical images using texture for tissue identification
Retrieval by content of medical images using texture for tissue identification
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Retrieval by content of medical images using texture for tissue identification

Joaquim Cezar Felipe Agma Juci Machado Traina; Caetano Traina Júnior; IEEE Symposium Computer-based Medical Systems 16 (16. 2003 New York)

Proceedings Los Alamitos:IEEE, 2003

Los Alamitos IEEE 2003

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1317598 ) e outros locais(Acessar)

14
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model
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A deep learning-based radiomics approach for COVID-19 detection from CXR images using ensemble learning model

Márcus Vinícius Lobo Costa Erikson Júlio de Aguiar; Lucas Santiago Rodrigues; Jonathan da Silva Ramos; Caetano Traina Junior; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (36. 2023 L'Aquila, Italy)

Proceedings Los Alamitos : IEEE, 2023

Los Alamitos IEEE 2023

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-3145014 )(Acessar)

15
A new similarity measure for histograms applied to content-based retrieval of medical images
A new similarity measure for histograms applied to content-based retrieval of medical images
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A new similarity measure for histograms applied to content-based retrieval of medical images

Joaquim Cezar Felipe Agma Juci Machado Traina; Caetano Traina Junior; Annual ACM Symposium on Applied Computing (21. 2006 Dijon)

Proceedings New York: ACM, 2006

New York ACM 2006

Localização: FFCLRP - Fac. Fil. Ciên. Let. de R. Preto    (pcd 1533901 ) e outros locais(Acessar)

16
SACMiner a new classification method based on statistical association rules to mine medical images
SACMiner a new classification method based on statistical association rules to mine medical images
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

SACMiner a new classification method based on statistical association rules to mine medical images

Carolina Y. V Watanabe Marcela X Ribeiro; Caetano Traina Júnior; Agma Juci Machado Traina; International Conference on Enterprise Information Systems - ICEIS (12. 2010 Funchal-Madeira)

Lecture Notes in Business Information Processing Berlin : Springer-Verlag v. 73, p. 249-263, 2011

Berlin Springer-Verlag 2011

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2260159 ) e outros locais(Acessar)

17
Statistical association rules and relevance feedback powerful allies to improve the retrieval of medical images
Statistical association rules and relevance feedback powerful allies to improve the retrieval of medical images
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Statistical association rules and relevance feedback powerful allies to improve the retrieval of medical images

Marcela Xavier Ribeiro Joselene Marques; Agma Juci Machado Traina; Caetano Traina Junior; IEEE International Symposium on Computer-Based Medical Systems (19. 2006 Salt Lake City)

Proceedings Los Alamitos: IEEE Computer Society, 2006

Los Alamitos IEEE Computer Society 2006

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-1536332 ) e outros locais(Acessar)

18
ICARUS retrieving skin ulcer images through bag-of-signatures
ICARUS retrieving skin ulcer images through bag-of-signatures
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ICARUS retrieving skin ulcer images through bag-of-signatures

Daniel Y. T Chino Lucas C Scabora; Mirela T Cazzolato; Ana E. S Jorge; Caetano Traina Junior; Agma Juci Machado Traina; International Symposium on Computer-Based Medical Systems - CBMS (31. 2018 Karlstad, Sweden)

Proceedings Los Alamitos : IEEE, 2018

Los Alamitos IEEE 2018

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2890803 )(Acessar)

19
MFS-Map efficient context and content combination to annotate images
MFS-Map efficient context and content combination to annotate images
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MFS-Map efficient context and content combination to annotate images

Alceu Ferraz Costa Agma Juci Machado Traina; Caetano Traina Junior; Symposium on Applied Computing - SAC (29. 2014 Gyeongju, Korea)

Proceedings Stoughton : Printing House/ACM, 2014

Stoughton Printing House/ACM 2014

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2466233 )(Acessar)

20
Unveiling smoke in social images with the SmokeBlock approach
Unveiling smoke in social images with the SmokeBlock approach
Material Type:
Artigo de Congresso 		Adicionar ao Meu Espaço

Unveiling smoke in social images with the SmokeBlock approach

Mirela T Cazzolato Marcos V. N Bedo; Alceu F Costa; Caetano Traina Junior; José Fernando Rodrigues Junior; Agma Juci Machado Traina; Symposium on Applied Computing - SAC (31. 2016 Pisa)

Proceedings New York : ACM, 2016

New York ACM 2016

Localização: ICMC - Inst. Ciên. Mat. Computação    (PROD-2736476 )(Acessar)

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