Abstract
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.
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Pérez, G., Garamendi, J.F., Montes Diez, R., Schiavi, E. (2008). A Multiphase Approach to MRI Shoulder Images Classification. In: Fred, A., Filipe, J., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2008. Communications in Computer and Information Science, vol 25. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-92219-3_24
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DOI: https://doi.org/10.1007/978-3-540-92219-3_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-92218-6
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