Improving Performance and Quality in Content-Based Medical Image Retrieval

The lack of content-based retrieval models capable to provide fast and relevant results is one of the reasons why CBMIR tools have not yet became present in radiological routines. This work presents a methodology for CBMIR in order to help solve this deficiency. Tests performed have shown a reductio...

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Bibliographic Details
Main Authors: da Luz, A., Abdala, D.D., von Wangenheim, A., Comunello, E.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical imaging
Content based retrieval
Data mining
DICOM
Feature extraction
Image databases
Image retrieval
Information analysis
Information retrieval
Testing
Online Access:Request full text
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Description
Summary:The lack of content-based retrieval models capable to provide fast and relevant results is one of the reasons why CBMIR tools have not yet became present in radiological routines. This work presents a methodology for CBMIR in order to help solve this deficiency. Tests performed have shown a reduction of 95.5% of the execution time for retrieval processes. The relevance of the results is assured by the categorization of the cases in the Case Base. The class of cases is defined through pseudo-semantics and visual attributes.
ISSN:1063-7125
DOI:10.1109/CBMS.2007.58