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.
['Marcelo Ponciano-Silva', 'Juliana P. Souza', 'Pedro Henrique Bugatti', 'Marcos Vinicius Naves Bedo', 'Daniel S. Kaster', 'Rosana T. V. Braga', 'Angela D. Bellucci', 'Paulo Mazzoncini de Azevedo-Marques', 'Caetano Traina', 'Agma J. M. Traina']
Does a CBIR system really impact decisions of physicians in a clinical environment