Graphic oracle as a tool to support the evaluation of diagnostic support systems

• Fátima L. S. Nunes USP
• Márcio E. Delamaro USP
• Rafael A. P. Oliveira USP

Abstract

One of the greatest challenges at developing computer aided diagnosis (CAD) systems is to ensure its correction. This paper presents an approach that uses concepts from Content-Based Image Retrieval to construct a practical methodology to evaluate CAD systems.

References

Giger, M. L. (2000) “Computer-aided diagnosis of breast lesions in medical images”, Computing in Science & Engineering, v. 2, n. 5, p. 39-45.

Hafner, J., Sawhney, H., Equitz W., Flickner, M. , Niblack, W. (1995) “Efficient color histogram indexing for quadratic form distance functions”, IEEE Trans. Pattern. Anal. Machine Intell., v. 17, p. 729–736.

Harrold, M. J. (2000) “Testing: a roadmap”, In ICSE'00: Proceedings of the Conference on The Future of Software Engineering, p. 61–72, Nova York, EUA.

Lieberman, H., Rosenzweig, E. and Singh, P. (2001) “Aria: An Agent for Annotating and Retrieving Images”, IEEE Computer, v. 34, n. 7, p. 57–62.

Nunes, F. L. S. (2006) “Introdução ao Processamento de Imagens Médicas para Auxílio ao Diagnóstico”, In Atualizações em Informática,1ed, Rio de Janeiro: PUC-Rio, v.1, p. 73-126.

Oliveira, R. A. P., Delamaro, M. E. and Nunes, F. L. S. (2008). “Estrutura para Utilização de Recuperação de Imagens Baseada em Conteúdo em Oráculos de Teste de Software com Saída Gráfica”, In Anais do IV Workshop e Visão Computacional, v.1, p. 205-210.

Smeulder, A., Worring, M., Santini, S., Gupta, A. and Jain, R. (2003) “Content based image retrieval at the end of the early years”, IEEE Trans. Pattern Anal. Mach. Intell., v. 22, n. 12, p. 1349–1380.

Vasconcelos, N. (2004). “On the efficient evaluation of probabilistic similarity functions for image retrieval”, IEEE Trans. Inf. Theory v. 50, n. 7, p. 1482–1496.