This paper deals with a segmentation (classification) problem which arises in the diagnostic and treatment of shoulder disorders. Classical techniques can be applied successfully to solve the binary problem but they do not provide a suitable method for the multiphase problem we consider. To this end we compare two different methods which have been applied successfully to other medical images modalities and structures. Our preliminary results suggest that a successful segmentation and classification has to be based on an hybrid method combining statistical and geometric information. © 2008 Springer-Verlag.
CITATION STYLE
Pérez, G., Garamendi, J. F., Montes Diez, R., & Schiavi, E. (2008). A multiphase approach to MRI shoulder images classification. In Communications in Computer and Information Science (Vol. 25 CCIS, pp. 321–329). https://doi.org/10.1007/978-3-540-92219-3_24
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