A DBMS-based framework for content-based retrieval and analysis of skin ulcer Images in medical practice (2019)
- Authors:
- Cazzolato, Mirela Teixeira
- Rodrigues, Lucas Santiago
- Scabora, Lucas de Carvalho
- Zabot, Guilherme Felipe
- Vasconcelos, Guilherme Queiroz
- Chino, Daniel Yoshinobu Takada
- Jorge, Ana Elisa Serafim - Universidade Federal de São Carlos (UFSCar)
- Cordeiro, Robson Leonardo Ferreira
- Traina Junior, Caetano
- Traina, Agma Juci Machado
- USP affiliated authors: CORDEIRO, ROBSON LEONARDO FERREIRA - ICMC ; TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC ; CAZZOLATO, MIRELA TEIXEIRA - ICMC ; RODRIGUES, LUCAS SANTIAGO - ICMC ; SCABORA, LUCAS DE CARVALHO - ICMC ; ZABOT, GUILHERME FELIPE - ICMC ; VASCONCELOS, GUILHERME QUEIROZ - ICMC ; CHINO, DANIEL YOSHINOBU TAKADA - ICMC
- Unidade: ICMC
- Subjects: BANCO DE DADOS MULTIMÍDIA; RECUPERAÇÃO DA INFORMAÇÃO; RECONHECIMENTO DE IMAGEM; ÚLCERA CUTÂNEA
- Keywords: A DBMS-Based Framework; Image Content-Based Retrieval; mobile application; image retrieval tasks; image retrieval analysis
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Proceedings
- ISSN: 2016-5170
- Conference titles: Simpósio Brasileiro de Banco de Dados - SBBD
-
ABNT
CAZZOLATO, Mirela Teixeira et al. A DBMS-based framework for content-based retrieval and analysis of skin ulcer Images in medical practice. 2019, Anais.. Fortaleza: SBC, 2019. Disponível em: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf. Acesso em: 04 jun. 2024. -
APA
Cazzolato, M. T., Rodrigues, L. S., Scabora, L. de C., Zabot, G. F., Vasconcelos, G. Q., Chino, D. Y. T., et al. (2019). A DBMS-based framework for content-based retrieval and analysis of skin ulcer Images in medical practice. In Proceedings. Fortaleza: SBC. Recuperado de http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf -
NLM
Cazzolato MT, Rodrigues LS, Scabora L de C, Zabot GF, Vasconcelos GQ, Chino DYT, Jorge AES, Cordeiro RLF, Traina Junior C, Traina AJM. A DBMS-based framework for content-based retrieval and analysis of skin ulcer Images in medical practice [Internet]. Proceedings. 2019 ;[citado 2024 jun. 04 ] Available from: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf -
Vancouver
Cazzolato MT, Rodrigues LS, Scabora L de C, Zabot GF, Vasconcelos GQ, Chino DYT, Jorge AES, Cordeiro RLF, Traina Junior C, Traina AJM. A DBMS-based framework for content-based retrieval and analysis of skin ulcer Images in medical practice [Internet]. Proceedings. 2019 ;[citado 2024 jun. 04 ] Available from: http://sbbd.org.br/2019/wp-content/uploads/sites/6/2020/01/Proceddings.pdf - Efficient indexing of multiple metric spaces with spectra
- Segmenting skin ulcers and measuring the wound area using deep convolutional networks
- UCORM: indexing uncorrelated metric spaces for concise content-based retrieval of medical images
- Taking advantage of highly-correlated attributes in similarity queries with missing values
- FeatSet: a compilation of visual features extracted from public image datasets
- FeatSet+: visual features extracted from public image datasets
- Semi-automatic ulcer segmentation and wound area measurement supporting telemedicine
- VD-Tree: how to build an efficient and fit metric access method using Voronoi diagrams
- Sketch+ for visual and correlation-based exploratory data analysis: a case study with COVID-19 databases
- Similarity search and correlation-based exploratory analysis in EHRs: a case study with COVID-19 databases
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