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2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS) (2013)
Porto, Portugal
June 20, 2013 to June 22, 2013
ISBN: 978-1-4799-1053-3
pp: 41-46
Marcelo Ponciano-Silva , Dept. of Computer Science, University of São Paulo at São Carlos, Brazil
Juliana P. Souza , Medical School of Ribeirão Preto, University of São Paulo, Brazil
Pedro H. Bugatti , Dept. of Computer Engineering, Fed. Technological University of Paraná, Cornélio Procópio, Brazil
Marcos V. N. Bedo , Dept. of Computer Science, University of São Paulo at São Carlos, Brazil
Daniel S. Kaster , Dept. of Computer Science, University of Londrina, Brazil
Rosana T. V. Braga , Dept. of Computer Science, University of São Paulo at São Carlos, Brazil
Angela D. Bellucci , Medical School of Ribeirão Preto, University of São Paulo, Brazil
Paulo M. Azevedo-Marques , Medical School of Ribeirão Preto, University of São Paulo, Brazil
Caetano Traina , Dept. of Computer Science, University of São Paulo at São Carlos, Brazil
Agma J. M. Traina , Dept. of Computer Science, University of São Paulo at São Carlos, Brazil
ABSTRACT
Content-based image retrieval systems are employed in several areas. One of the most prominent area is the medical field, due to the huge volume of digital images daily generated in healthcare institutions employed for decision making. There are several works applying CBIR techniques over medical images. However, the great majority of them do not verify whether the systems are actually considered by the specialists as a pontential aid in a real environment. In order to fill this research void in the literature, this work explores user experiments in a CBIR system involving resident physicians and radiologists. To do so, we developed a CBIR system according to requirements provided by the specialists and employed a methodology to analyze the effectiveness of the system for supporting them in clinical routine. The methodology aims at evaluating the system's impact in the user's decision, inquiring the specialists about the image classification and their degree of certainty in different situations using the system. By analyzing the obtained results we can argue that the proposed methodology joined with our medical CBIR system presented a high acceptance and viability rate regarding the radiologists interests in the clinical practice domain, providing a novel approach to analyze CBIR systems under realistic conditions.
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CITATION

M. Ponciano-Silva et al., "Does a CBIR system really impact decisions of physicians in a clinical environment?," 2013 IEEE 26th International Symposium on Computer-Based Medical Systems (CBMS), Porto, Portugal, 2013, pp. 41-46.
doi:10.1109/CBMS.2013.6627762
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