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MIRVisIM: mining, indexing, retrieval and data visualization in picture archiving and communication systems

Grant number: 05/04272-9
Support type:Regular Research Grants
Duration: May 01, 2006 - December 31, 2009
Field of knowledge:Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques
Cooperation agreement: STIC-AmSud
Principal researcher:Agma Juci Machado Traina
Grantee:Agma Juci Machado Traina
Principal researcher abroad: Richard Chbeir
Institution abroad: Université de Bourgogne, France
Principal researcher abroad: Ernesto Cuadros-Vargas
Institution abroad: Universidad Católica San Pablo, Peru
Home Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil


This proposal aims at creating and implementing new techniques and tools to discover the hidden knowledge in images of medical exams. Thus, the applicability of Picture Archiving and Communication Systems (PACS) will be enhanced leading to aid the diagnosis. The results of this proposal rely on four main research activities, as follows. (1) The basis provided by new techniques of image features extraction aiming to efficiently answer content and similarity queries. (2) The development and tuning of access methods well suited to process similarity queries on complex data. (3) The development of image mining techniques through association rules and attribute selection. (4) All the research activities will be supported by data and information visualization techniques aiming to help the user to tune to algorithms being developed in the other activities. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
BALAN, ANDRE G. R.; TRAINA, AGMA J. M.; RIBEIRO, MARCELA X.; MARQUES, PAULO M. A.; TRAINA, JR., CAETANO. Smart histogram analysis applied to the skull-stripping problem in T1-weighted MRI. COMPUTERS IN BIOLOGY AND MEDICINE, v. 42, n. 5, p. 509-522, . (07/50285-0, 05/04272-9)
DE SOUSA‚ E.P.M.; TRAINA‚ A.J.M.; TRAINA‚ C.; FALOUTSOS‚ C.. Measuring evolving data streams’ behavior through their intrinsic dimension. NEW GENERATION COMPUTING, v. 25, n. 1, p. 33-60, . (05/04272-9)

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