Abstract
Alzheimer’s, Parkinson’s and other dementive diseases pose nowadays both medical and social problems. Image data provides diagnostic information on their crucial symptoms. However, mainly due to time constraints and various technical issues, not all useful information is in most cases extracted from the acquired radiological image data. The authors’ aim is to project, implement and test a framework that supports and automatizes an in-depth analysis (including various fractal, statistical and volumetric properties) of MR (Magnetic Resonance) images for this purpose. Major elements of this system have been already created.
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Kuczyński, K., Siczek, M., Stegierski, R., Suszyński, W. (2010). Automated Detection of Dementia Symptoms in MR Brain Images. In: Rutkowski, L., Scherer, R., Tadeusiewicz, R., Zadeh, L.A., Zurada, J.M. (eds) Artificial Intelligence and Soft Computing. ICAISC 2010. Lecture Notes in Computer Science(), vol 6113. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13208-7_78
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DOI: https://doi.org/10.1007/978-3-642-13208-7_78
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