Extending relational database to support content-based retrieval of medical images (2002)
- Authors:
- USP affiliated authors: TRAINA JUNIOR, CAETANO - ICMC ; TRAINA, AGMA JUCI MACHADO - ICMC
- Unidade: ICMC
- Assunto: ENGENHARIA DE SOFTWARE
- Language: Inglês
- Imprenta:
- Publisher: IEEE Computer Society
- Publisher place: Los Alamitos
- Date published: 2002
- ISBN: 0769516149
- Source:
- Título: Proceedings
- Conference titles: IEEE Symposiumon Computer-Based Medical Systems
-
ABNT
ARAUJO, Myrian Renata Barros et al. Extending relational database to support content-based retrieval of medical images. 2002, Anais.. Los Alamitos: IEEE Computer Society, 2002. . Acesso em: 06 fev. 2026. -
APA
Araujo, M. R. B., Chino, F., Traina Junior, C., Traina, A. J. M., Bueno, J. M., & Razente, H. L. (2002). Extending relational database to support content-based retrieval of medical images. In Proceedings. Los Alamitos: IEEE Computer Society. -
NLM
Araujo MRB, Chino F, Traina Junior C, Traina AJM, Bueno JM, Razente HL. Extending relational database to support content-based retrieval of medical images. Proceedings. 2002 ;[citado 2026 fev. 06 ] -
Vancouver
Araujo MRB, Chino F, Traina Junior C, Traina AJM, Bueno JM, Razente HL. Extending relational database to support content-based retrieval of medical images. Proceedings. 2002 ;[citado 2026 fev. 06 ] - Upgraded SemIndex prototype supporting intelligent database keyword queries through disambiguation, query as you type, and parallel search algorithms
- Content-based image retrieval using approximate shape of objects
- Distance functions association for content-based image retrieval using multiple comparison criteria
- DBM-tree
- An effective cost model for similarity queries in metric spaces
- Visually interacting with k-medoid-based algorithms
- BREATH: heat maps assisting the detection of abnormal lung regions in CT Scans
- Support to content-based image query in object-oriented databases
- Efficient bulk-loading on dynamic metric access methods
- Discovering frequent patterns on agrometeorological data with TrieMotif
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