Abstract
In medical practice radiologists use X-rays to diagnose and treat scoliosis, which is a medical condition that affects the spine. Doctors usually compare patients’ X-rays to other images with known diagnosis so that they can propose a similar treatment. Since digital medical images are usually stored in large databases, an automatic way to retrieve them could truly help radiologists. In this paper we show how a Fuzzy Object-Relational Database System can be used to provide flexible querying mechanisms to retrieve the similar images. We present the main system capabilities to represent and store curvature pattern descriptions and how queries on them are solved.
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References
Barranco, C.D., Campaña, J.R., Medina, J.M.: Towards a fuzzy object-relational database model. In: Galindo, J. (ed.) Handbook of Research on Fuzzy Information Processing in Databases, pp. 435–461. IGI Global (2008)
Caluwe, R.D.: Fuzzy and Uncertain Object-Oriented Databases: Concepts and Models, Advances in Fuzzy Systems-Applications and Theory, vol. 13. World Scientific, Singapore (1997)
Cobb, J.: Outline for the study of scoliosis. Am. Acad. Orthop. Surg. Inst. Course. Lect. 5, 261–275 (1948)
Cootes, T.F., Taylor, C.J., Cooper, D.H., Graham, J.: Active shape models: their training and application. Comput. Vis. Image Underst. 61, 38–59 (1995)
Cubero, J.C., MarĂn, N., Medina, J.M., Pons, O., Vila, M.A.: Fuzzy object management in an object-relational framework. In: Proc. 10th Int. Conf. on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU 2004, pp. 1767–1774 (2004)
Galindo, J. (ed.): Handbook of Research on Fuzzy Information Processing in Databases. Information Science Reference, Hershey (2008)
Garrido, A., MartĂnez-Baena, J., Medina, J.M., Jaime-Castillo, S.: A hierarchical deformable model based on dynamic programming to segment the spine (2010) (manuscript submitted)
Gokcen, I., Yazıcı, A., Buckles, B.P.: Fuzzy content-based retrieval in image databases. In: Yakhno, T. (ed.) ADVIS 2000. LNCS, vol. 1909, pp. 226–237. Springer, Heidelberg (2000)
Han, J., Ma, K.K.: Fuzzy color histogram and its use in color image retrieval. IEEE Transactions on Image Processing 11(8), 944–952 (2002)
Kanglin, X., Xiaoling, W.: Application of fuzzy logic in content-based image retrieval. Journal of Computer Science & Technology 5(1), 19–24 (2005)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. International Journal of Computer Vision 1(4), 321–331 (1988)
Krishnapuram, R., Medasani, S., Jung, S.H., Choi, Y.S., Balasubramaniam, R.: Content-based image retrieval based on a fuzzy approach. IEEE Trans. on Knowl. and Data Eng. 16, 1185–1199 (2004)
Kulkarni, S.: Natural language based fuzzy queries and fuzzy mapping of feature database for image retrieval. Journal of Information Technology and Applications 4, 11–20 (2010)
Lew, M.S., Sebe, N., Lifl, C.D., Jain, R.: Content-based multimedia information retrieval: State of the art and challenges. ACM Transactions on Multimedia Computing, Communications, and Applications 2(1), 1–19 (2006)
Liu, Y., Zhang, D., Lu, G., Ma, W.Y.: A survey of content-based image retrieval with high-level semantics. Pattern Recognition 40(1), 262–282 (2007)
Ma, Z., Li, Y.: A literature overview of fuzzy database models. Journal of Information Science and Engineering 24, 189–202 (2008)
Medina, J.M., Pons, O., Vila, M.A.: Gefred. a generalized model of fuzzy relational databases. Information Sciences 76(1), 87–109 (1994)
Medina, J.M., Barranco, C.D., Campaña, J.R., Jaime-Castillo, S.: Generalized fuzzy comparators for complex data in a fuzzy object-relational database management system. In: Hüllermeier, E., Kruse, R., Hoffmann, F. (eds.) IPMU 2010. CCIS, vol. 81, pp. 126–136. Springer, Heidelberg (2010)
Muller, H., Michoux, N., Bandon, D., Geissbuler, A.: A review of content-based image retrieval systems in medical applications-clinical benefits and future directions. International Journal of Medical Informatics 73(1), 1–23 (2004)
Nepal, S., Ramakrishna, M., Thom, J.: A fuzzy object query language (foql) for image databases. In: Proceedings of the 6th International Conference on Database Systems for Advanced Applications, pp. 117–124 (1999)
Reinsch, C.: Smoothing by spline functions. Numerische Mathematik 10(3), 177–183 (1967)
Sánchez, D., Chamorro-MartĂnez, J., Vila, M.A.: Modelling subjectivity in visual perception of orientation for image retrieval. Information Processing and Management 39, 251–266 (2003)
Shahabi, C., Chen, Y.S.: Soft query in image retrieval systems. In: Proceeding of SPIE Internet Imaging, Electronic Imaging, San Jose, CA (USA), vol. 3964, pp. 57–68 (2000)
Verma, B., Kulkarni, S.: Fuzzy logic based interpretation and fusion of color queries. Fuzzy Sets and Systems 147, 99–118 (2004)
Wu, J.K., Narasimhalu, A.D.: Fuzzy content-based retrieval in image databases. Information Processing and Management 34(5), 513–534 (1998)
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Jaime-Castillo, S., Medina, J.M., Barranco, C.D., Garrido, A. (2011). On the Use of a Fuzzy Object-Relational Database for Retrieval of X-rays on the Basis of Spine Curvature Pattern Similarities. In: Christiansen, H., De Tré, G., Yazici, A., Zadrozny, S., Andreasen, T., Larsen, H.L. (eds) Flexible Query Answering Systems. FQAS 2011. Lecture Notes in Computer Science(), vol 7022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24764-4_38
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DOI: https://doi.org/10.1007/978-3-642-24764-4_38
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