Abstract
This paper studies the problem of detecting significant regions in medical image analysis. The solution of this non well-defined problem requires in general several criteria to attempt to measure the relevance of an input image features. Criteria properties are important in medical imaging in order to permit their application in a variety of situations. We adopt in this paper the morphological framework, which facilitates the study of the problem and, in addition, provides useful pre-processing and image analysis techniques.
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Crespo, J., Billhardt, H., Rodríguez-Pedrosa, J., Sanandrés, J.A. (2001). Methods and Criteria for Detecting Significant Regions in Medical Image Analysis. In: Crespo, J., Maojo, V., Martin, F. (eds) Medical Data Analysis. ISMDA 2001. Lecture Notes in Computer Science, vol 2199. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45497-7_3
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DOI: https://doi.org/10.1007/3-540-45497-7_3
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