In this paper, we describe a radiology web system with an image analysis tool associated in order to measure bone density in fracture zones. These measures can be used to track the evolution of fractures in hip, knee, spine and long bones. It is being incorporated into the application a module that enables data mining. This module will induce a model for predicting the length of medical casualties based on patients' data. © 2009 Springer Berlin Heidelberg.
CITATION STYLE
Álvarez, B. R. C., Nistal, Á. M., Jiménez, J. P., Tamargo, M. A. G., García, A. S. A., & Aparicio, J. P. (2009). Web application and image analysis tool to measure and monitoring the density in bone fractures with a predictive approach. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5518 LNCS, pp. 718–721). https://doi.org/10.1007/978-3-642-02481-8_108
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